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Paper Citation Record · LEDGER

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2309.11998.

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

pith.paper-citation-record.v1
2309.11998 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:07.656222Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2effee5e-3b1a-469e-ab4e-b6ceb4483d2f · inbound

Gemma 2: Improving Open Language Models at a Practical Size cites this paper.

Gemma 2: Improving Open Language Models at a Practical Size LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:11:16.536226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:2b357b219d85d7a4653291f2a98303dce44b243fae257d9248e1167f150a5ca2

Observation a6c7dc24-c207-4948-944d-bc1e70b6a9f5 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 221

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verified exact
arxiv_id, observed 2026-05-23T17:35:43.996774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:11e5c6f514e95717a8a2b29836e246d07f1c098de46adb8e8c36dbf31e8a01e8

Observation 3e0b9087-bfe8-4f2c-9952-e7c04eddacba · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.145209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:f3aaca680c58212c41ef3f4b857c489251916a1eabb36229af46d29f2bfea0bb

Observation c4cd9c88-6cdc-4fae-9b56-94cb8f1d9c25 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.380622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:bc52b336225067262aba36230c88e80b22f13e436a806ffaaa598c8ff3ffdd02

Observation c32e457e-1f38-4c65-82f6-c89a6e99597f · inbound

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving cites this paper.

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:11:43.925414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T15:08:15.328986Z digest=sha256:6b9e64e19afc3e75d5a1b44bc477f20361831d2e0d40d5c398266b1f9413daa0

Observation 54c6e2d0-3ba0-4a08-991e-f9b5024ae867 · inbound

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality cites this paper.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:07.656222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:07.656222Z digest=sha256:042c7bf8603b4d1d628f70c8f6f2f3b4557407217caf0d64c1f495f35dacd9a0

Observation 3d3bcbbc-6b1e-4427-ad7b-013492ec7d82 · inbound

A global log for medical AI cites this paper.

A global log for medical AI LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T11:34:11.744818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:34:11.744818Z digest=sha256:b6f802b19b49b578fbfa4901d2aeaea70544600a02dbc03c698a1477354bf5bc

Observation dae92762-4ad7-4c9c-99c5-c702302fdf50 · inbound

Auditing LLM Editorial Bias in News Media Exposure cites this paper.

Auditing LLM Editorial Bias in News Media Exposure LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T07:01:35.841685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:01:35.841685Z digest=sha256:6b2277c5166696bf447a23550146b08217b2b5fad5dbd811e0329572ebbca42f

Observation 4ce9a0ef-e085-4c78-b381-3f76bfa96a40 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:40:42.344578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T01:40:42.190369Z digest=sha256:9779c92c66fd5b67a564d3eb9a173e3e9efee9bd8260ea3ea558e04acdeb58d2

Observation ff790e81-bf4f-4b0b-bde0-13b7cff261b4 · inbound

SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips cites this paper.

SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:30:17.992775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T15:26:01.283448Z digest=sha256:1009703efe55d76abe88ed4f1dd525ba516300b4ae631b403ffe9fb52b815b22

Observation f5ea8733-0593-459e-8e5c-ad1d4d3b9c4b · inbound

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads cites this paper.

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:57:43.059960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T09:53:13.057587Z digest=sha256:4c86771540ae5c16ec4090fc17c84e38f763f04f09baade8b8b735aed260dda9

Observation e3db547c-5bb8-433f-b229-5906a2f411c6 · inbound

After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions cites this paper.

After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:13.151403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:54:13.151403Z digest=sha256:dc02bcc6df144b5047f1f474b4ea9ea28981339d626beb179e2790ca3bff635c

Observation a78a4497-6545-43be-b3b7-67f239523d51 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-03T01:17:12.013304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:17:12.013304Z digest=sha256:368ffc44ad88cd9814bb00d31d14a4a8ac6e456c55a36c6510a81b5eba0dbc0b

Observation 73349bf9-63ce-4a28-8114-66623c7b2aa6 · inbound

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task cites this paper.

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:50:42.307474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:48:55.986272Z digest=sha256:711d2ffe8291f40ef057eb0ce912e84d3031d3defe147d9f1efdf805864a75d0

Observation 1b28e98d-ad17-4d9b-929f-9349b61b0c88 · inbound

Comparative Characterization of KV Cache Management Strategies for LLM Inference cites this paper.

Comparative Characterization of KV Cache Management Strategies for LLM Inference LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:45:53.184006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:52:37.554690Z digest=sha256:825c2740bba5587d08e4692d8603e6b600b02922eb838ddbe753b2f087395d80

Observation c2c02e52-d481-4252-8859-cfbdf556b776 · inbound

SAGE: A Service Agent Graph-guided Evaluation Benchmark cites this paper.

SAGE: A Service Agent Graph-guided Evaluation Benchmark LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:21:00.770684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:41:23.956104Z digest=sha256:6396d456981c958a06264b7f38cac14fac9eff75fb89dee72fba2b5ac657a3c5

Observation a8124d55-4ee4-4600-992f-e1c2f9bbf22b · inbound

Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees cites this paper.

Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:46:03.074337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:51:11.343200Z digest=sha256:238d087398ac6de443dd0946514f0f4276c4221c2ca3dae988af3b4c7ef495bf

Observation 06e1ae6d-f76b-45ee-bbae-6977dfeb9721 · inbound

Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference cites this paper.

Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:14:10.675111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T05:01:02.726796Z digest=sha256:5b4c776f5b8a0891f41befa44f367a0d5fb1effd97f4c9fddae650af8fa1583f

Observation 8af6b0a1-0440-407a-ac8c-0787d6bc7d14 · inbound

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning cites this paper.

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:26:29.131985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T06:12:37.845017Z digest=sha256:1407faf15effb083dfb942ba32c8e7507cf3e80dc2f69c9dcf15696e4d838bb2

Observation 6a0a145a-abb9-425f-8324-978da47229c3 · inbound

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection cites this paper.

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:11:28.676669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T07:06:03.049639Z digest=sha256:fbcab5d67dcc3e5530b44f9f16ff0bb43063f1c96c4791ffe0e65e6bcf4c6a16

Observation 566b31c9-83b4-4ef5-adf4-d2e363b6a0e6 · inbound

Test-Time Speculation cites this paper.

Test-Time Speculation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:21:22.710988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T04:20:15.459967Z digest=sha256:cda1afad69d01fd2997c62486551b0e826b8556ba5e3e9b982044c989e084a49

Observation a9327a56-e889-4f02-8eb4-05e0b4f80b6b · inbound

Test-Time Speculation cites this paper.

Test-Time Speculation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:54:09.735662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T22:53:56.914556Z digest=sha256:da7405535e9f33ff1a74036d81ebbc88fb57fa9cb376dfec3d33178d7f7141b6

Observation 9ce70a6e-18cc-4d0d-895c-092c4f02924e · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:56:31.247022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T03:46:48.498800Z digest=sha256:35dc6dfb256119e5d59d852b8cb2f96e3fef2cd85e455adfa5f7b2f1526cd5ed

Observation b369bc21-5b15-45ea-b392-c3f707031277 · inbound

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs cites this paper.

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T14:31:12.736399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:31:12.736399Z digest=sha256:43034225375262608d88d6ed5213b045db316f266e5e7e5cd0437c736f8ebcac

Observation 23a62907-e910-45b2-bfd9-a07f43494416 · inbound

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions cites this paper.

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T16:24:55.257713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T16:22:02.166135Z digest=sha256:e479c00d8a7996cf161e18958667f31cb15ece8c8eda0b6ce7f6cd54fb3f0a3a

Observation a87fd0d1-e197-4ae4-a778-e79ec488df0d · inbound

Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation cites this paper.

Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T23:34:04.628815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T23:27:08.631657Z digest=sha256:b7948e3e2ed877430e63b738b4191b241aa391221f67eedc09029835c17070ab

Observation 6a5cb03a-6ab2-42ea-87ad-7548f0c93755 · inbound

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability cites this paper.

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:53:51.637982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T18:45:40.697579Z digest=sha256:063c56aec94c8b816714fb1ceed85cd3b630394dcc72265352aa4702d88a849d

Observation b7946e74-caf9-4a54-b8c9-ede5257b5c3c · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 62

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verified exact
arxiv_id, observed 2026-06-29T12:13:26.842915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:07:49.656453Z digest=sha256:a519c7835e58fcd1864a1ef87669558a876f33603c7c2623b22aa915c6c76ea0

Observation a3627ec1-bdcb-477b-8c75-1362c5ef0ea1 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:17:31.540635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:59e82bd2ed53b8cb92fb6285c38cd54cdd011d302fefd89e0a88918d61f75d88

Observation fcc3d7fb-3f1c-4c74-8509-8c2d755597c5 · inbound

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research cites this paper.

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:28:18.896792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T08:03:18.763513Z digest=sha256:bb1c9192016d658ed172319febc24c8c76aaa5d9e0182bcb9341ef32746f57d0

Observation 9056253d-b644-4f96-b5ec-69c65c3b099d · inbound

AI Fiction in the Wild cites this paper.

AI Fiction in the Wild LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-06-26T09:09:15.759267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T09:05:54.690083Z digest=sha256:cbbd26ef425081f9fb1538a4411cae9b3f283fe2f1d0f44aee9ca96583fbce62

Observation cd51c28a-b12d-4c11-b952-c686e1c9d9e9 · inbound

Detecting and Controlling Sycophancy with Cascading Linear Features cites this paper.

Detecting and Controlling Sycophancy with Cascading Linear Features LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 20

Resolution
malformed identifier
arxiv_id, observed 2026-07-04T15:49:57.092348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T01:24:56.600219Z digest=sha256:2d13fb68bf5fc214620140891fd30fa8240ff5304f4e8d0e4aa5dc237723f663

Observation 8f59a3c9-dbaf-4528-912f-4e428514e134 · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-26T01:28:50.489454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:3ae7d76a2b0bfe1b99ff6c489a88cca12a79ad916b1fa1783a76c2a53926a76a

Observation a1d22051-0308-4266-a051-a2b5dae2e822 · inbound

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution cites this paper.

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:35:48.355521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T01:20:29.026464Z digest=sha256:b23a0419a404a91e3aa63b2830800e48206815c534ed7086872b8958056f3266

Observation 81ff348b-798b-41ed-977c-18c2823e3782 · inbound

KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding cites this paper.

KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:04:14.246323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T02:54:11.777615Z digest=sha256:8d3baa36655467daf709a2ac5126707bda2b6d2277331559ace98e5c6f281bb9

Observation 0718dd6e-a337-4eb6-9e03-0a78f7fc2e1f · inbound

The One-Word Census: Answer-Choice Conformity Across 44 Language Models cites this paper.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T06:23:49.144748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:23:49.144748Z digest=sha256:933f89a0d0d0d9c1929ba362dd38f99821bd2a67d8f6ab0e6a51ffd9b6ce6914

Observation 3222fcf7-dcc5-422f-80f5-6e7fafca8aec · inbound

Economic Evaluations of Language Models cites this paper.

Economic Evaluations of Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:06.015416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:06.015416Z digest=sha256:a826bea44347a3bed3314bdd8c0a2185d0a7b69b3c78b9ac2938d2efa0ed0106

Observation cdef2cf6-f521-4abe-b227-83ae8c4a340d · inbound

Efficiency and Cost Alignment in Batched LLM Serving via Resource-Fair Scheduling cites this paper.

Efficiency and Cost Alignment in Batched LLM Serving via Resource-Fair Scheduling LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T10:54:03.201603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:03.201603Z digest=sha256:75639853b33cc369e5c6f91a9fef176c511e27dc65da0589f3cd60437736937c