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Paper Citation Record · LEDGER

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

As of 5 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 0 inbound Pith citation observations for arXiv:2605.06702.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.06702 v1

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:16:30.734428Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 110 outbound references displayed

  • verified exact20
  • verified fuzzy76
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f19ccd4b-9600-4512-9333-dee4290dca97 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.503356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:9948efe7f35c1ca8c558fc2aaef51ded11ac3acca1cb330fbfdf4ffcae07e261

Observation 61704372-47c0-4323-bfb1-396527c6a673 · outbound

This paper cites Kolb-based experiential learning for generalist agents with human-level kaggle data science performance.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Kolb-based experiential learning for generalist agents with human-level kaggle data science performance

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.727769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:5e7b1407e40ca97db14c8383c29aad45d81e99c3d75231f891ac72ef5a325e5d

Observation b3fe2a84-8f3f-44f6-ad7d-9bd45223435c · outbound

This paper cites an unresolved cited work.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-05-11T01:20:50.685242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a97872166510e313e1b1b77409c06c6026196ff5f75372ab9ffa7f39f432c305

Observation f80769ba-77d1-4c0a-8f50-16c163cddec1 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Deepseek-r1 incentivizes reasoning in llms through reinforcement learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.718729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:0af9c896a14d5496ec0be4a3efd4fa946fcf437e27982434fe273af2880724a0

Observation a6f2f447-82a6-4baf-90bd-8038d28d0c5e · outbound

This paper cites Experience-dependent structural synaptic plasticity in the mammalian brain.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Experience-dependent structural synaptic plasticity in the mammalian brain

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.712607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:bd8d6ba5697ce519c36b0ce40f2b49160f364b00ed5936559561969ed004ea72

Observation d340072d-0ed9-4719-bcd2-00678f6851d7 · outbound

This paper cites Predictive processing: a canonical cortical computation.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Predictive processing: a canonical cortical computation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.703177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:089e9d6083487d60c5c93c0407ca6f86ffee1bf16b0c81b8f26afe6deaa244f9

Observation c0569b82-dcea-45a4-8639-edf898f00724 · outbound

This paper cites A survey on large language model based autonomous agents.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment A survey on large language model based autonomous agents

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.707746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:838eb2c687b223c43e5b0affd03a877addfbc38a269095b31dc5964a3f710eeb

Observation e8644f36-b0e0-400d-b8e1-7b45a9982a3c · outbound

This paper cites Reinforcement learning: An introduction, volume 1.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Reinforcement learning: An introduction, volume 1

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.723491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a7e7567d9f5662a041c380f24a1ac01ab3b690a348eb781ebffcdddf19a7ceac

Observation 87330d89-484a-400e-9723-af6a17ab6d72 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Reflexion: language agents with verbal reinforcement learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.580176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:91fa63ec0fdd88fa1fe4a73221924433a626a1ddd2cb882f206557ce259f97cd

Observation 68e1391a-5955-4386-92f1-0465eb25b0c8 · outbound

This paper cites GEPA: Reflective prompt evolution can outperform reinforcement learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment GEPA: Reflective prompt evolution can outperform reinforcement learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.693909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:f309d5ccda23ee46158e60a73a12660ee4cfdac56c89b52feeab41990f2db0f8

Observation da234d40-c23f-4878-9627-cbb4c6191219 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Lora: Low-rank adaptation of large language models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.563063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:32233d14aaba1749826dcf25b423e517dfb6194508e992045d24d2d4bb25c6f4

Observation d5f04069-59f7-48cf-b94d-ca7cbcfb0c7a · outbound

This paper cites Alfworld: Aligning text and embodied environments for interactive learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Alfworld: Aligning text and embodied environments for interactive learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.554457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:fecdae080e24add10bde53960622e0009fceafe63b5ec44e75668b8038f3447b

Observation 87cc6968-8bf5-4315-b4d7-4787fe310ae7 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment React: Synergizing reasoning and acting in language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.528353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ce9596faf8107f5c83e02e89f17cafc124dacea60a05acd59990032ad5f1c995

Observation c4902b4b-67e4-4adf-9031-7d7d8b5b5fab · outbound

This paper cites Search-r1: Training LLMs to reason and leverage search engines with reinforcement learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Search-r1: Training LLMs to reason and leverage search engines with reinforcement learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.571518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:7a0649b38ff9ebf56abc82eb827931b198a7fab73c39c02cf3417cbfe8d1cab5

Observation 0f7f4bf2-1a67-4903-9366-ddcd394db3ca · outbound

This paper cites Dense passage retrieval for open-domain question answering.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Dense passage retrieval for open-domain question answering

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.683859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:46acde1ce4b92cd0c6d8117519a4054325e210a975ed825503f2e4985bd6edd9

Observation 1ff78a4a-235c-4414-8de1-4609ccb07170 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:54:04.551857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:48f2ce6f09851933af04cb9cc653147bc705f9f07b0eaf654e9b5a1b570d10d7

Observation 26cd5ffb-b4da-4a67-8a61-2b88089b12d5 · outbound

This paper cites Hl7 fhir: An agile and restful approach to healthcare information exchange.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Hl7 fhir: An agile and restful approach to healthcare information exchange

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.545579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:55dc2f3d1986436cba1eea21075292abeefc6c78835f1c79ade0cd8d1769ab0c

Observation 3d4daaa8-793d-4137-9575-ed3099fd0986 · outbound

This paper cites Ehr-r1: A reasoning-enhanced foundational language model for electronic health record analysis.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Ehr-r1: A reasoning-enhanced foundational language model for electronic health record analysis

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.677766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ca5a719a16bc6948d4a3483060f1a13383910b80367675d06cffcf96672eccf7

Observation b07642fa-5a47-40b4-827a-a56110e8ebe1 · outbound

This paper cites Retrieval, reuse, revision and retention in case-based reasoning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Retrieval, reuse, revision and retention in case-based reasoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.621213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:05501dffddd7237b699702d3adbefa654e80bf8f6200e3ee25e56577da17483d

Observation 2a2f7c70-2338-49dd-b0e7-e789f4d29c2e · outbound

This paper cites Attention is all you need.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Attention is all you need

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.476061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:c2a071c4f7cb3c5df7ecf10587c2bc1d6a31c2fdc6dcb1d0008abfeb237d79a7

Observation 0947c19a-3054-499c-9a06-3b9d5602c4be · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.550020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ef8e371c17e65205510667fba62aceea40f784e74851085d58030977d3d9db3a

Observation d66fba55-3c8f-4c52-b3bc-999116fe302b · outbound

This paper cites Neural contextual bandits with ucb-based exploration.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural contextual bandits with ucb-based exploration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.479892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a355d9e125f9bea33475c7cddd4a013403b4ed47a9bc60ad787735b6cc552c86

Observation c50d8eca-c2a4-453d-b282-2e59ddf268a5 · outbound

This paper cites After coming to an agreement, the three took a moped driven by Chu to Shiliang Bay Park near the bridge on Jiuchang Road, Chicheng Street, Tiantai County.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment After coming to an agreement, the three took a moped driven by Chu to Shiliang Bay Park near the bridge on Jiuchang Road, Chicheng Street, Tiantai County

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.444388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:165624fe31b582033ba693bca78778ce42268cd4a23d6b84f4de8cba9d05228c

Observation 5a397c29-af1c-4652-a8ff-26de50836f09 · outbound

This paper cites Supporter.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Supporter

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.493074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:f9b3bcbdfc2e545a4fa62b3d14c6b3391a8aee5227135a968f0851294b2b63e8

Observation 5678c2dd-cc7c-4508-9765-e736e36918af · outbound

This paper cites Assumption 5.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Assumption 5

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.635165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:291bc3309409ecbfd77f72eca438be30ca24dc1c8219afc366b5aaa035434d96

Observation 6901d33d-47c1-47a6-83a4-70c22d70a0af · outbound

This paper cites an unresolved cited work.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-14T17:07:28.649338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:5df1c8a2c53139adaea75ea082519fb5289b99dc7d75bf91e0b16ffe9bae2c40

Observation ab8d79e5-bf96-4843-8e06-89b0be2fc774 · outbound

This paper cites The landscape of agentic reinforcement learning for llms: A survey.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment The landscape of agentic reinforcement learning for llms: A survey

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.688501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:044d34535b1b088ba3188af90d8415ab3c5306f7af12749bdea16b98a2b43338

Observation b58824d2-f34c-413b-824a-d461d5cde782 · outbound

This paper cites Proximal Policy Optimization Algorithms.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Proximal Policy Optimization Algorithms

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.566459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e186ce0cb81a6cae59d8b6ea083eb51c8f0ed0cc2784f710f95c19407a1035a9

Observation fec5ada0-8dbd-45a3-a5cb-51c97479e85c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.771337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e7fa90a5798f9cafbab5ab0016dcc2f4ff75043adc7411696e3f14c487890457

Observation 9839ebc3-a532-432a-8151-d328c69e09da · outbound

This paper cites Group-in-group policy optimization for llm agent training.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Group-in-group policy optimization for llm agent training

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.423929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:c522133a9140cf72d6df88e38642a15eac0df6a555487fa91b19272c8f059c2f

Observation 259159bf-eb49-4132-ae5e-a86900fc5214 · outbound

This paper cites Agent Learning via Early Experience.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Agent Learning via Early Experience

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-26T03:04:06.268577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:9a061ebc8eed50c1ac90d4f248ff107c606ad64148b8d81910a4732f7cff5d79

Observation 9cfe56e1-9af9-40fa-bca5-fcb52f624141 · outbound

This paper cites Gem: A gym for agentic llms.arXiv preprint arXiv:2510.01051.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Gem: A gym for agentic llms.arXiv preprint arXiv:2510.01051

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.709022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:0c33979684dea08e70ee69baca9d40399fb6edefde464f278e9c0a0396277fe6

Observation a0969b55-3af0-4145-83b2-b29717c8b230 · outbound

This paper cites A survey of context engineering for large language models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment A survey of context engineering for large language models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.541098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:978fe14d643f36da186b2daa7e5ffda648f2be7a9445ecf8361f05097016099d

Observation 44eb323e-57be-445f-aa46-82505a71dc4d · outbound

This paper cites Optimizing generative ai by backpropagating language model feedback.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Optimizing generative ai by backpropagating language model feedback

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.575904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a182c5fe31051d2d6e60535f5ff6ba84b49eda7f90857d457e8010c328594202

Observation 28d60d4d-3526-452c-af09-557dc5aac0da · outbound

This paper cites arXiv preprint arXiv:2511.07919 , year=.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment arXiv preprint arXiv:2511.07919 , year=

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:30:59.717784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e4d6d604d23f88f6e6412ab521f176bfe17e5c3f25dbd6742db0764c2c1db18a

Observation 64173c57-7299-4925-bdc0-5c7b4d9a6169 · outbound

This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.630401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:bff9a827ad6785c5cc5c8b0d1706ef87c0b7d22bca4bd63b79ad8a5cbe846c4f

Observation 074d5091-8a59-4bb4-ba12-e714db45698f · outbound

This paper cites GEPA: Reflective prompt evolution can outperform reinforcement learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment GEPA: Reflective prompt evolution can outperform reinforcement learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.639987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:33c61502756c4f591214b1f6c388a4b153551b8af8cf99df0d314ad5a5030168

Observation 1cdf78e0-43d6-4bd3-bc0a-47821e635382 · outbound

This paper cites Llms are in-context bandit reinforcement learners.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Llms are in-context bandit reinforcement learners

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.653850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:4357c21d9e3dcd3340fd532c5555c40886a05432e949d30376b590ea7e88f04e

Observation c5983198-e6fe-4c83-8d44-4e574eb01250 · outbound

This paper cites Agent kb: Leveraging cross-domain experience for agentic problem solving.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Agent kb: Leveraging cross-domain experience for agentic problem solving

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.748122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:4c2815c3ac2d274181f1c0d7b03871b51154c7d500c307a9b727e38fd9fd8a40

Observation 256ba3ac-72bf-45fc-9ef1-aaeda55448ff · outbound

This paper cites Memento: Fine-tuning LLM Agents without Fine-tuning LLMs.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.611353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e8dc73815c90412f9fd96e37137f48c7f24c0890ddb88e28e77d6eca71bf5428

Observation f7959fea-1c31-4cac-a3eb-db5500476170 · outbound

This paper cites Flex: Continuous agent evolution via forward learning from experience.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Flex: Continuous agent evolution via forward learning from experience

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.641973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:fd000d76411f935ce57368005158d1516cfcdfdcc19ae7a107c1ae16e86310ec

Observation 69bb14ea-4283-48d5-bbde-b617c0c09ba3 · outbound

This paper cites Dynamic cheatsheet: Test-time learning with adaptive memory.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Dynamic cheatsheet: Test-time learning with adaptive memory

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.584394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:82853f458cc41a35107e7d7255767e9813ede136e1abae0bae2f16830f4568c7

Observation b50f80bb-9c8f-45a7-bfce-81318b88e837 · outbound

This paper cites Agentic context engineering: Learning comprehensive contexts for self-improving language models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Agentic context engineering: Learning comprehensive contexts for self-improving language models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.458677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:2d3717f9ebeb19095d7511bfe9ac2631d543a4f9946508360a04446f334f0a32

Observation ac2a4c36-d311-4d7d-8dfe-e7fc4818bd23 · outbound

This paper cites An introduction to case-based reasoning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment An introduction to case-based reasoning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.536881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:f056c50ca6f299fc54e7bf3aacc79acd8941a34712dc4d6ca676ff83b79c81e2

Observation 79877d6a-7c39-4c95-8a48-6faf3c7ab115 · outbound

This paper cites Case-based reasoning: A review.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Case-based reasoning: A review

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.523785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:6bac41ba980f56198d4ab789b30ef466926b6f88f1d44836670bfa945fd458c5

Observation 44653c3b-c5d3-46a1-a8f6-31bbf24773c1 · outbound

This paper cites Case-based reasoning: Foundational issues, methodological variations, and system approaches.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Case-based reasoning: Foundational issues, methodological variations, and system approaches

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.644384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:38ddaa7835668065f72074ea7b17c75034b0712d4e8955fce087b46da38e0987

Observation 67ef2d1c-d36e-4cd8-9099-9b67996f73a2 · outbound

This paper cites Floyd, Lasal Jayawardena, David Leake, Mirko Lenz, Lukas Malburg, David H.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Floyd, Lasal Jayawardena, David Leake, Mirko Lenz, Lukas Malburg, David H

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.698469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a2f2830925958a7a47839660f62256157324f7f3fcfb21d3c01ac392ea3a89fc

Observation 9d384f0d-e598-42d3-884b-c29c6b24c437 · outbound

This paper cites Language models are few-shot learners.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Language models are few-shot learners

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.598839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:8e8ffd43be3df8cd332a5b285d37873fdf3fe6c2ed02bfc848d20a0356dd1bbf

Observation 856ce35a-ee15-414b-bd39-bfe4bddf4e68 · outbound

This paper cites A survey on in-context learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment A survey on in-context learning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.501818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ffd96a963ea42db13f327746cc63376d767a8f8919e7d39aee8e30c2fd78e21d

Observation b9ad9980-80bc-4bf2-8282-e792bb9e4808 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Improving language models by retrieving from trillions of tokens

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.471674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a6c36f6f2ace3e221ff91a6255bd3df14e274c18f927798a46283bb602c4e943

Observation 420b7b6d-dc2e-48ef-84d0-eba06f97eed0 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.662903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:d9f8c95ebdb5e87cbecfd591c395bc9f6680cab782a56af1cd512aaf617d0fbf

Observation 6de65e14-8198-4a6f-b29a-f2f4745c0c2f · outbound

This paper cites Ds-agent: Automated data science by empowering large language models with case-based reasoning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Ds-agent: Automated data science by empowering large language models with case-based reasoning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.497874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a89dec2bc5a0f19269c80c370ee183a68796dc280df59775a7427df8bde993e5

Observation 11c3060d-0f6c-4297-abb7-4740971d86e2 · outbound

This paper cites Optimizing case-based reasoning system for functional test script generation with large language models.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Optimizing case-based reasoning system for functional test script generation with large language models

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.589377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:0adf55a26007bd695e44eac40a276677fb21db145a53b7b24881c0de735d4f6c

Observation 80c7c1c4-aaed-4bcd-8555-358ccae26141 · outbound

This paper cites Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.657248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:80911fbb703bdc25ecf4588576878593320c7374da1fd7c63c030ae159aa454c

Observation 5e041652-2f37-46f3-bdff-dcc46025ccbc · outbound

This paper cites Memento-ii: Learning by stateful reflective memory.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Memento-ii: Learning by stateful reflective memory

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.536017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ed7095c5d51eae4c4fb4212f816fc4e2d1ef853a2b5fa9e4909ba41201a76fd4

Observation 5a7289fb-2e6a-417d-a932-90aa4a4095a1 · outbound

This paper cites Memento-skills: Let agents design agents.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Memento-skills: Let agents design agents

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.694984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:138cb35755993de408e22ca2960644b5f92de5117b002dc7a8951ebc85f69437

Observation 1572fa36-f59c-4f50-94f2-32d979f9e4e2 · outbound

This paper cites Gaia: a benchmark for general ai assistants.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Gaia: a benchmark for general ai assistants

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.593701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a2a3314dd96d20834490b11ebce8a96dcf4106532b900b752c14e6fb24ee7880

Observation f3144204-db25-40e3-be63-399414b8133b · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment A contextual-bandit approach to personalized news article recommendation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.625898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:a769a9fa9c070faff2d0a5cbdf70a3c2ea4354c40b8c38fadb31c6eda4c6502f

Observation b6c1cca6-bc1b-4fd1-bc13-da353fded0b9 · outbound

This paper cites Scalable neural contextual bandit for recommender systems.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Scalable neural contextual bandit for recommender systems

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.448959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e1e82583ef654220fc814ed2e0f9f2f4ccd729aa7bd32ff1082f4d5e5a2350dc

Observation cba18286-1064-4aa8-8023-f55b322d971e · outbound

This paper cites Neural contextual bandits for personalized recommendation.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural contextual bandits for personalized recommendation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.428069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:928479c157182ba3525044c58549d4afc183831712af22cd6ef1d79251eaeacf

Observation 2b9fe4c2-60a0-4930-8d1f-a04a96acef40 · outbound

This paper cites Use your instinct: Instruction optimization for llms using neural bandits coupled with transformers.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Use your instinct: Instruction optimization for llms using neural bandits coupled with transformers

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.532773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:f377b4c2b7e6bcdd9ec428e291d33965530c05e2fd85812229904a314a5e8dc0

Observation 562726bd-d090-4039-897b-cd3fc5d6f2e5 · outbound

This paper cites Neural contextual bandits with ucb-based exploration.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural contextual bandits with ucb-based exploration

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.483834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:e9c9f4f9663a1045841def03091f6b0117624106cb4c31f3dde5f423a02ceaac

Observation 55c859a2-5f70-4457-ae34-91abcd87dea8 · outbound

This paper cites Prompt optimization with ease? efficient ordering-aware automated selection of exemplars.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Prompt optimization with ease? efficient ordering-aware automated selection of exemplars

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.558829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:88e0e601bb04b19a2a0832258cff2e8550a2d94893f493acd053645e43fe53b1

Observation e119640c-6837-40f6-afdb-2b78349f55e6 · outbound

This paper cites Adaptive llm routing under budget constraints.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Adaptive llm routing under budget constraints

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.666231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:84fe1b6d05901ea8be763f152d38c29e34c45fa433101c0524f65f875a96f9d3

Observation c2d024a5-d8a8-44aa-9124-fa573b8cbd95 · outbound

This paper cites Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.736144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:1d6a20449ce452a2e499b11997e99107b9f5fd28f2487d3329397b0a808c4ce4

Observation 7f0b0f68-9cb7-485b-80cc-65030fdccbdc · outbound

This paper cites Ddxplus: A new dataset for automatic medical diagnosis.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Ddxplus: A new dataset for automatic medical diagnosis

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.616939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:5935ec0a8ae4d23ae2a3665336bded71abd2c259288026a3927aeaba4f31bd6b

Observation c6105247-2340-4c7e-9693-8863a6debbce · outbound

This paper cites Streambench: Towards benchmarking continuous improvement of language agents.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Streambench: Towards benchmarking continuous improvement of language agents

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.519578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:d2a87b147e6740cb9a0ec8fb0bb21e432ada3c0fddc3d18e5ed4003977d1710d

Observation f3f9d8ec-11aa-449f-9298-a8ec50063b85 · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Mimic-iv, a freely accessible electronic health record dataset

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.603178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:cffc110738c19af6624c8c8f8baf105a92fdfe4072d4d720214938fcd64adc2c

Observation cf089749-e1ec-489d-ab2b-ca2045e75268 · outbound

This paper cites Large Language Model Distilling Medication Recommendation Model.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Large Language Model Distilling Medication Recommendation Model

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:30:59.799106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:3002d07d10377a2ff4e6ede339b0bb358563078d8f110f93e8d2d6ab61625d0a

Observation 45415033-187e-410f-b988-3901db155886 · outbound

This paper cites Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.679357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ac16b6aaa3c8690167e9575ad1d6611bf95df1bdec23528e086065f59c1034ff

Observation 4562da1d-046f-4098-8350-098904ab5937 · outbound

This paper cites Emergency severity index (esi): a triage tool for emergency department care, version 4.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Emergency severity index (esi): a triage tool for emergency department care, version 4

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.506324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:b18b1d71eebf99dda856377eca13502372cc05f3521109b8ecccf7ff44717f92

Observation b2229ae5-7d18-464f-a497-39d97cb6fc22 · outbound

This paper cites Through the mud: A multi-defendant charge prediction benchmark with linked crime elements.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Through the mud: A multi-defendant charge prediction benchmark with linked crime elements

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.670385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:4d975f79dacaf814f8b3ab7a867ddf42e285ae8fae4708c26a4024672ce48f08

Observation d31ae75f-1f3d-46d7-8acb-09262700e672 · outbound

This paper cites Cmdl: A large-scale chinese multi-defendant legal judgment prediction dataset.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Cmdl: A large-scale chinese multi-defendant legal judgment prediction dataset

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.612074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:c6b5033a32d99b9a60ee0b6be7c1a45f4a1fcd1d9faa64698077b2e979d2e6e4

Observation 878b6ae7-372e-49d8-a6f8-8c74aea0e9be · outbound

This paper cites Efficient intent detection with dual sentence encoders.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Efficient intent detection with dual sentence encoders

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.467922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:67d1ae845aa64bcf74f1804611dc7e42ed3082cdbdb93e20fe73b9d41f375e29

Observation 351a41cd-a10c-4151-b4de-22b8eaac38ae · outbound

This paper cites Sentfin 1.0: Entity-aware sentiment analysis for financial news.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Sentfin 1.0: Entity-aware sentiment analysis for financial news

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.514914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:7b8b6de23feef43af5d635fe2d9eb0fb8e065e436e617bbae56d78664461021c

Observation b5456d7e-6206-4d25-9132-748339a25350 · outbound

This paper cites Logreasoner: Empowering llms with expert-like coarse- to-fine reasoning for log analysis tasks.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Logreasoner: Empowering llms with expert-like coarse- to-fine reasoning for log analysis tasks

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.756026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:8f8fdbede95aff2de6970f7f0640ea6a46becd4b9fae8e9cfe80b01a70a51fcc

Observation 805e3a9b-6a9e-4355-98dc-6d0218a54d44 · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.661859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:4b3ac414977821dc24b0cdfc400ea39490847a89c1df7afb7e5fee2b95093ad6

Observation b212b6b0-667f-446f-b4b3-597e4232dcae · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.454026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:7c55a3aca07841ef86e75ad9e265a4d95c5ea933d412bf0622acc2f413a1e24c

Observation 84ff24db-0296-4f90-be58-71cdd9b0fa18 · outbound

This paper cites Alfworld: Aligning text and embodied environments for interactive learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Alfworld: Aligning text and embodied environments for interactive learning

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.567094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:33e19ae114db845fe6ae2ce3430e6206329b0651362679c7ced96e5fbf1f74d7

Observation 5d47f143-c7bf-4ba6-9493-e25bcea1db54 · outbound

This paper cites Scienceworld: Is your agent smarter than a 5th grader? In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11279–11298.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Scienceworld: Is your agent smarter than a 5th grader? In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11279–11298

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.658049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:23ef91da3c8201a71641d81ec16416c2a21e6158dbacf858e274734ccd6cea97

Observation 5f7bae62-b284-4347-a0fb-abd35064c849 · outbound

This paper cites Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.607518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:cd202779506063b117d06269d1f55233c718a10ca3c5792803d02a0d011177e0

Observation abfa03d4-5a95-4b3e-a868-24b66ae382d5 · outbound

This paper cites DeepResearcher: Scaling deep research via reinforcement learning in real-world environments.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment DeepResearcher: Scaling deep research via reinforcement learning in real-world environments

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.488351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:62b2d6573fe56fb34d51d56890c7f6a06d02af0e52728a374aeff29ec14ba816

Observation 8ac36b00-424e-4378-9f88-4d2452f2be88 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Mimic-iii, a freely accessible critical care database

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.462870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:9795219e0b473d3573a96404ae85f7628511c6354bd30f7d7968f4dc50511e99

Observation 3cf6f956-65d5-4cc6-ac57-810ac0366d8a · outbound

This paper cites Ehrsql: A practical text-to-sql benchmark for electronic health records.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Ehrsql: A practical text-to-sql benchmark for electronic health records

Reference 111

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.352668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:89e16132efd6bb3d6d27f4b2de235e266d3933c9fa2eb1844fedb3f1022475f1

Observation a97c0729-c5d0-40c4-9d72-0bc17c6c7b76 · outbound

This paper cites Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records

Reference 112

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.396905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:158d5465881fedfda25ea9a29ab8e82a81b989868ffa5b8e05d424bdbb584464

Observation 221d289d-ccfa-45c2-9a2d-9e2dc4a434f0 · outbound

This paper cites Qwen3 Technical Report.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Qwen3 Technical Report

Reference 113

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.781177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:f6f95348dcdb0bb976c0b3ca1b207de5bcae38f5401502401334cf96b0ea29e7

Observation 676806b8-3a59-4273-a829-0cb2a892bce4 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Gonzalez, Hao Zhang, and Ion Stoica

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.347569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:34ed5cddb8dc2e607ccb4f669a6f4f9088a4acd129cb5a6a1160033c0ee465b3

Observation f3a3e302-0719-4cd9-a937-684701d5eab9 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 115

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:30:59.671562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:bc35df562a4a28b360a3348ea46969672603e01e132d995c93cbb10982bba535

Observation 7327dcb7-2037-4950-850c-520ddf94e40e · outbound

This paper cites mgte: Generalized long-context text representation and reranking models for multilingual text retrieval.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment mgte: Generalized long-context text representation and reranking models for multilingual text retrieval

Reference 116

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.326738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:feaa16e46b4203079da77d3c0db1da63221d7602a4dc2cccb0200d354b52d226

Observation 8562f861-1f49-46cb-9d6f-8301296ef828 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:33:46.146760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:7e1b4f7f4a3697ae1098e5b545099af464e84a845c48dd639de0870db7e4e828

Observation 2720d966-7254-45c5-a4c4-1257c7d3cc19 · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference

Reference 118

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.400691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:43e60433bde8f944fad3f8af9fb5c64c686edaf670035d4fdfd56af7ec728ff3

Observation 109ee731-1a6e-4220-ae60-2b00184cb023 · outbound

This paper cites Improving cursor tab with online rl, sep 2025.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Improving cursor tab with online rl, sep 2025

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.388060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:3d958be501539e2d3f8f892f4d0528c06624d3eaaa417621ce32dc10ad5a1d79

Observation 0dca640e-8cc5-423b-855b-553633dc2485 · outbound

This paper cites LoRA without regret.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment LoRA without regret

Reference 120

Resolution
verified exact
doi, observed 2026-05-11T01:20:50.687031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:da5c5e96f025e327711b873609ca24e21c39a5f2047b99fca243b707ed861b20

Observation a72b2c84-d36a-488d-b8b8-1508107ef89d · outbound

This paper cites Collaborative filtering bandits.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Collaborative filtering bandits

Reference 121

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.361181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:cb1cd1a02b46a2fda67acce90bf84ba21d7a3e62ad1bb09fc255cc9ca400a8a8

Observation 7b4af56d-a2d5-486d-bb25-5a499c4892e0 · outbound

This paper cites Neural bandit with arm group graph.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural bandit with arm group graph

Reference 122

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.375042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:5904fd7553ee36727ef964221bf698c7bd6a9a55d0ceee1ebf5febed40cbd3e8

Observation bc725b0a-9602-46c0-98c9-3dd987b1caba · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Provably optimal algorithms for generalized linear contextual bandits

Reference 123

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.342734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:4f4b16ac7150ea291e7de5f4c290e9901c028842472569c984d242da7f5a9c88

Observation 9c97c624-4a4e-452e-9fee-92be2487e853 · outbound

This paper cites Neural dueling bandits: Preference-based optimization with human feedback.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural dueling bandits: Preference-based optimization with human feedback

Reference 124

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.409038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:b9ee3ccfeeb711e1d8ab50edc8a0eeb36dd14dd4c20e6ebee79e10e723ebe47d

Observation 19e243b3-96d4-4970-94dc-0472a3beec99 · outbound

This paper cites Neural contextual bandits with deep representation and shallow exploration.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Neural contextual bandits with deep representation and shallow exploration

Reference 125

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.674523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:b14f54aa99b2c31dae0389e238f9ab9af7a279d180e93ec2bc54ca248ceca0d4

Observation fd60d034-7dda-427f-8d54-119a02501c38 · outbound

This paper cites Combinatorial neural bandits.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Combinatorial neural bandits

Reference 126

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.510579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:ce16472baabd1bf779ccf1721c3904b7d8f55ca3b87979cd69951d4c7fb36179

Observation 754da082-f3dd-4336-b3c4-883357ededbf · outbound

This paper cites Algorithms for infinitely many-armed bandits.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Algorithms for infinitely many-armed bandits

Reference 127

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T17:07:28.383347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:16:30.734428Z digest=sha256:7960fe058be55775b938dc6d11421b458b57af5e59f4e97bce3b343d353a3c83

Pith citing papers

No inbound Pith citation observations are available.