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Paper Citation Record · LEDGER

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2607.22711.

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

pith.paper-citation-record.v1
2607.22711 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:05:54.334890Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:23.265472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:16:45.518843Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a0099cf-f57d-4149-b9a5-228d4eb0f8a3 · outbound

This paper cites Cursor, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Cursor, 2026

Reference 1

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source=pdf_text observed=2026-08-01T15:05:50.524756Z digest=sha256:86832a07f002b60fdc44a1ae569fc858c3a67c1a3d5e43e39cb9ac68ec0ca5c8

Observation 9ea39392-cd25-4cc6-b1c8-e4ce5a5a1cc1 · outbound

This paper cites Claude code, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Claude code, 2026

Reference 2

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source=pdf_text observed=2026-08-01T15:05:50.592658Z digest=sha256:4beb33f8b9de833b0285a8c7113554aecddd3e1425612b33aa451eabf93f6f1a

Observation 57b07128-0084-4f5e-8d87-10f85ea9951c · outbound

This paper cites Kiro, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Kiro, 2026

Reference 3

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source=pdf_text observed=2026-08-01T15:05:50.778007Z digest=sha256:700bd9c529a19a1386c9d0a53d2ba363a37d03edf321d9c6546f2e3926c9a7fc

Observation 8a5758bc-9b32-4c83-89dd-1071ff7f614d · outbound

This paper cites Huerta, and Hao Peng.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Huerta, and Hao Peng

Reference 4

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source=pdf_text observed=2026-08-01T15:05:50.887732Z digest=sha256:1f076443413ccc46bb43b389672efbe9f511957f52d088fca7194c425136ac71

Observation a47963f0-1664-483a-a30e-afdf4fcd4982 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 5

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source=pdf_text observed=2026-08-01T15:05:50.984759Z digest=sha256:6ce060808f9d128697abc79287c76f5e1449fffa5fc250caf9587264c6f06e90

Observation 144aee59-b3cf-4cbf-b526-4207cec02b4e · outbound

This paper cites NoLiMa: Long-Context Evaluation Beyond Literal Matching.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents NoLiMa: Long-Context Evaluation Beyond Literal Matching

Reference 6

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source=pdf_text observed=2026-08-01T15:05:51.135681Z digest=sha256:26379e882c630f79bf99c3809684b4a4b2e68d586cf70d1ea5c79d3b5dd8c512

Observation f70c1f9b-1816-4a1b-adcf-eea8423389ce · outbound

This paper cites Context rot: How increasing input tokens impacts llm performance.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Context rot: How increasing input tokens impacts llm performance

Reference 7

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source=pdf_text observed=2026-08-01T15:05:51.251465Z digest=sha256:848f77de26bb53f44349d0e9403a2c0f5f32c3bc817d7725d9f996ee8ae8b380

Observation 52d7cf3f-4f70-4b79-9e92-b47a6c1f90ec · outbound

This paper cites Conversation management - slidingwindowconversationmanager, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Conversation management - slidingwindowconversationmanager, 2026

Reference 8

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source=pdf_text observed=2026-08-01T15:05:51.405325Z digest=sha256:5a53db4679c3c252b20838fb9bebff80ea59e1dc0f58a3589a993209f20e6427

Observation 97fc19f5-7287-4956-994b-4f286cf51a74 · outbound

This paper cites Openhands context condensensation for more efficient ai agents, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Openhands context condensensation for more efficient ai agents, 2025

Reference 9

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source=pdf_text observed=2026-08-01T15:05:51.499224Z digest=sha256:da0d8cdc129cfc8269073e1bce4518120ec8e816cdb62de4764ac030559fccbe

Observation 3f8783b3-d284-4482-961a-c16cd2dc1443 · outbound

This paper cites Dynamic context discovery., 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Dynamic context discovery., 2026

Reference 10

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source=pdf_text observed=2026-08-01T15:05:51.553337Z digest=sha256:2386cbf5989c2b886f4272048dcab4e8440f240dab010e252d1ebb6281121e0a

Observation dd4706c2-1fa0-4afc-b02c-479f386cf0a9 · outbound

This paper cites Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code

Reference 11

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source=pdf_text observed=2026-08-01T15:05:51.665727Z digest=sha256:ee928e29645c6c3473da98c09fe1ee340e6281a4a96f1ec1b25982d636d3e3d1

Observation 10e8a5f9-d994-4f12-92ff-f44003d153ad · outbound

This paper cites an unresolved cited work.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-01T15:05:51.763817Z digest=sha256:f7f536d4d175d2f8180764c4d1f315d01d80bb00c2f6b2a7d75572ed1e22c129

Observation e87fa9ad-1b72-4af4-8cd9-bb8d11ba33a9 · outbound

This paper cites Context editing, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Context editing, 2025

Reference 13

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source=pdf_text observed=2026-08-01T15:05:51.847338Z digest=sha256:8a2622180f685cce2f1794153a9681367eb149cc596183b33afcf848c135f68f

Observation f0af0390-1e94-4354-b70c-7d7fd775a0b7 · outbound

This paper cites The complexity trap: Simple observation masking is as efficient as LLM summarization for agent context management.CoRR, abs/2508.21433, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents The complexity trap: Simple observation masking is as efficient as LLM summarization for agent context management.CoRR, abs/2508.21433, 2025

Reference 14

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source=pdf_text observed=2026-08-01T15:05:51.964758Z digest=sha256:c423ab6aee80cd01cb440443eb4a8466fbfb9a7589ec039e93ec58477bbfea7d

Observation 0969db6d-5631-4c2f-8204-134d3fe292f9 · outbound

This paper cites Reducing cost of LLM agents with trajectory reduction.CoRR, abs/2509.23586, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Reducing cost of LLM agents with trajectory reduction.CoRR, abs/2509.23586, 2025

Reference 15

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source=pdf_text observed=2026-08-01T15:05:52.047171Z digest=sha256:1ad7cd9f3d28cbd2b82a1369dfc4743680f87ecfbe41ebcb68b876cff74d2166

Observation dc255085-b582-401d-a31b-d7238eefa7f1 · outbound

This paper cites ACON: Optimizing Context Compression for Long-horizon LLM Agents.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reference 16

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source=pdf_text observed=2026-08-01T15:05:52.128551Z digest=sha256:f3c5b94d8fc4bafa0c62adf149d49c459a2436101637d0c2ff9b38b73ed9d825

Observation 37a44762-2a7d-4ac6-aa01-bdafe8588c2f · outbound

This paper cites When agents go astray: Course-correcting SWE agents with PRMs.CoRR, abs/2509.02360, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents When agents go astray: Course-correcting SWE agents with PRMs.CoRR, abs/2509.02360, 2025

Reference 17

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source=pdf_text observed=2026-08-01T15:05:52.224751Z digest=sha256:6426047fd8e8d12d888da49d6db61619771b4a5a48334978635b4c9a434a3036

Observation 2eeea08b-ec49-4915-952a-3622afaa89b0 · outbound

This paper cites SE-Agent: Self-evolution trajectory optimization in multi-step reasoning with LLM- based agents.CoRR, abs/2508.02085, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents SE-Agent: Self-evolution trajectory optimization in multi-step reasoning with LLM- based agents.CoRR, abs/2508.02085, 2025

Reference 18

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source=pdf_text observed=2026-08-01T15:05:52.315698Z digest=sha256:0e1f0e6eae8fa1dd0b280fa165a422517df64032b0acfea25cd1ddfb44396718

Observation 43e4000c-9382-4272-a177-f8390c6d16d9 · outbound

This paper cites Strands agents, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Strands agents, 2026

Reference 19

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source=pdf_text observed=2026-08-01T15:05:52.424750Z digest=sha256:dec947d53236518ce7f659bf5b29a3981830977882dad9636a8d43fe96be580c

Observation 4f7a0a03-2c1d-4248-b8e0-6c54341b6184 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan

Reference 20

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source=pdf_text observed=2026-08-01T15:05:52.534754Z digest=sha256:0779dc0caec9a0c15eeb1c1f2014b163d1d50c4715d1b42dfcbeae03e022e09d

Observation 0c08f3d1-9d67-479f-94f8-02803fdb3317 · outbound

This paper cites Swe-polybench_verified benchmark, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Swe-polybench_verified benchmark, 2025

Reference 21

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source=pdf_text observed=2026-08-01T15:05:52.664750Z digest=sha256:1a840cc100638832ef951f891386613e9857ee7ac02dec324cb0876fcb5de050

Observation 7cc9eb8f-2b05-4257-9a9d-87143cf28917 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 22

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source=pdf_text observed=2026-08-01T15:05:52.764748Z digest=sha256:93a803466e79400b62b411ec58c1ce3bd58deb54a222ee47727a3d71443f7cc9

Observation 86cd1a80-7539-4c2c-8a62-a40730129c31 · outbound

This paper cites Claude 3.7 sonnet and claude code, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Claude 3.7 sonnet and claude code, 2025

Reference 23

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source=pdf_text observed=2026-08-01T15:05:52.824754Z digest=sha256:e076b089897c652d945b255ade8f6bcdacb1effe8af4c717a9e9834aa6229975

Observation ee4eb0c4-4880-4064-8f42-23c14fe852a2 · outbound

This paper cites Introducing claude 4, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Introducing claude 4, 2025

Reference 24

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source=pdf_text observed=2026-08-01T15:05:52.944754Z digest=sha256:f6a937dd0662d6a504526c090f49b7589fb0e4a0a2f5435a7007189524811ff3

Observation 6e486089-30ec-4904-95ef-f92a2fc24f1b · outbound

This paper cites Introducing claude sonnet 4.5, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Introducing claude sonnet 4.5, 2025

Reference 25

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source=pdf_text observed=2026-08-01T15:05:53.054756Z digest=sha256:2eece33f8f59d1915abc3ca31bddf10fecdd483f7d9b2bfc86effbdb2f09647d

Observation e6edd820-0a69-4aa2-b72f-9c4d7c1e52fc · outbound

This paper cites Qwen3-coder: Agentic coding in the world, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Qwen3-coder: Agentic coding in the world, 2025

Reference 26

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source=pdf_text observed=2026-08-01T15:05:53.149075Z digest=sha256:f6ae8c3daa9f9915c673eb6d9a776781a8d279dabe3ff5ab68ad00176fe6a5e2

Observation 70f57eee-d6f7-4180-8d50-2b181d1d9af1 · outbound

This paper cites CODESTRUCT: Code Agents over Structured Action Spaces.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents CODESTRUCT: Code Agents over Structured Action Spaces

Reference 27

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source=pdf_text observed=2026-08-01T15:05:53.252345Z digest=sha256:d59f7caf6e534135a7e9d30e15db8973f62389ee3fb44d8ecf398acad13d8bb1

Observation 95f17eb3-c2f0-48d8-b6aa-46d0b718d302 · outbound

This paper cites Accessed: 2026-05-05.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Accessed: 2026-05-05

Reference 28

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source=pdf_text observed=2026-08-01T15:05:53.371851Z digest=sha256:366b0d8cc822bd5b373ab4a8c946b6c5320932aafc389f83d8ecc5f36aec2c34

Observation a2f1f4ed-736b-4d8d-bc07-709eb02c402c · outbound

This paper cites Large language models for validating network protocol parsers.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Large language models for validating network protocol parsers

Reference 29

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source=pdf_text observed=2026-08-01T15:05:53.524753Z digest=sha256:94f28070ecabe0b0f90bcd85a90011b1cd9741e4ccdd787968f005dd5a3c8deb

Observation c4bed5a9-bd4a-42f2-9f7a-5bb16b7ce543 · outbound

This paper cites Rfcaudit: AI agent for auditing protocol implementations against RFC specifications.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Rfcaudit: AI agent for auditing protocol implementations against RFC specifications

Reference 30

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source=pdf_text observed=2026-08-01T15:05:53.633106Z digest=sha256:fa97c70cd4aeee883450f4a02824fc5da682ecf2ab1351aaceabc7bfb6e21ed6

Observation 42f59339-b240-4568-a760-c1971f16c32b · outbound

This paper cites Fine-grained and accurate source code differencing.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Fine-grained and accurate source code differencing

Reference 31

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source=pdf_text observed=2026-08-01T15:05:53.727367Z digest=sha256:1a7337560cdb5c37973ebe8c20f9c99ab33e9a3d13bd818a7076498e4a6a748a

Observation 92a721e0-bab8-419a-a132-892bca3ad6af · outbound

This paper cites git-diff, 2026.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents git-diff, 2026

Reference 32

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source=pdf_text observed=2026-08-01T15:05:53.816467Z digest=sha256:2d88d4daf2013b62d93f5851ba33a6a4d9a6a9ecbc82f3533b794bf6e009c0ec

Observation 12fa4dfd-3489-4c3b-90c2-a8746a2bec12 · outbound

This paper cites Prompt caching, 2025.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Prompt caching, 2025

Reference 33

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source=pdf_text observed=2026-08-01T15:05:53.954754Z digest=sha256:55c2d2d64589ec88ecaec0b25367c71533d83ba7a72eb27ec5f431941b6618f8

Observation 430495f3-95f0-4306-b306-15aae3b2a172 · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents A Survey of On-Policy Distillation for Large Language Models

Reference 34

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source=pdf_text observed=2026-08-01T15:05:54.034753Z digest=sha256:54db3eafec8e2a2ee3820937c793ad423082075427d8985ebc5354e6fd6c4d3a

Observation 905460cc-05fc-434a-b679-a3cf15eaf3c8 · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents On-policy distillation of language models: Learning from self-generated mistakes

Reference 35

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source=pdf_text observed=2026-08-01T15:05:54.120626Z digest=sha256:143bafdbbf56b99b027caa764c18cdb284e81563f0cae999d3114f6a30315284

Observation 5c5ace42-8e88-4165-be95-dbbd786cca2c · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:05:54.192896Z digest=sha256:2e9109e3d82707e724c990d7175e89fbd53d9e378bb235f15bc023a2edca4901

Observation 83d9aae6-1f0b-415d-81db-ec6ffc421d9f · outbound

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

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents The landscape of agentic reinforcement learning for llms: A survey.Trans

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T15:05:54.254758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:05:54.254758Z digest=sha256:dd9cdb306fa66f8200a2f8775348393e148d3623bc707ad1c7d6193cf567c221

Observation 6079291d-613c-4a09-b567-eab983c8b208 · outbound

This paper cites an unresolved cited work.

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T15:05:54.334890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:05:54.334890Z digest=sha256:44df901210c4535170f92dbcbbe7c6cfea4ad0b7bc8dd031723440f0384e77f3

Pith citing papers

Observation eafb4cbe-9932-47fd-b1eb-c1b2d6b38102 · inbound

Same Task, Different Work: Prompt-Induced Waste in Coding Agents cites this paper.

Same Task, Different Work: Prompt-Induced Waste in Coding Agents CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T04:16:45.584715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:16:45.405729Z digest=sha256:383931541358c525c09359b273926f210c08795c81fe18fe3ee5d1f72327cf30

Observation d4200e76-f806-4086-879b-080b05d5e7cc · inbound

Same Task, Different Work: Prompt-Induced Waste in Coding Agents cites this paper.

Same Task, Different Work: Prompt-Induced Waste in Coding Agents CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-07T01:02:23.265472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:02:23.265472Z digest=sha256:e21377c8152460b993dc866314bdfba6ffafba731f84dc57ac9fcf8d9d39a019