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Paper Citation Record · LEDGER

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2309.11235.

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

pith.paper-citation-record.v1
2309.11235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:51:10.458835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.676147Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 45b8b23c-2054-42df-bf3e-bfb40f708d26 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.488856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:5704b1ee38dabc7fccf7077612e12f1e877c0aa34d294e82cfd4903d5e6a2228

Observation 024b115a-b9a4-4462-9a97-526b2b33d37d · inbound

ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models cites this paper.

ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:20:21.514599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T22:20:21.427717Z digest=sha256:6ab29c5a617a2d79a03dbc65e2fade44a6d103f128b711f82de8ff849a3b95d9

Observation 7caf465f-9b59-4e78-9af2-49de2dfe3a90 · inbound

LLM Agents can Autonomously Exploit One-day Vulnerabilities cites this paper.

LLM Agents can Autonomously Exploit One-day Vulnerabilities OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:18:27.745853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T04:18:27.597704Z digest=sha256:8f61efc04dc340f9f47ed8221ee5ab3ee9316efa8a54b43434bed51a6d56033a

Observation b9e16c97-0023-415e-b086-5c13d04767b6 · inbound

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:06.187905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:db90beae497ec305ba97500ed428d88a8f14bc749500e89c28d67cbeb9d33dda

Observation 5985bf81-13d0-4195-9732-757042acad40 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 234

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.684199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:a70b3a1d0814e11bb2b733c3a78ee9397e3bfd87a727144962d224f07e75306d

Observation b49e3b7c-8e44-478c-97c4-d55bc2c8562b · inbound

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models cites this paper.

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T18:51:10.458835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:51:10.458835Z digest=sha256:52ef188636c02d44d2e5b6acdbd17e8fd10140fcc9ae1ac59d0675a377fbbb96

Observation f1abc449-a7ec-4e25-99aa-2da85bb4548d · inbound

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models cites this paper.

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:35.532916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:31:35.532916Z digest=sha256:3cceee06e31c404de9cdf7cef0f47e160e045ab37684baa0ab49f4e3f7595129

Observation 26dc3cd6-55f0-4253-8236-0df2805e689a · inbound

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models cites this paper.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:33.151700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:33.151700Z digest=sha256:f760933c7210689da22c9cece4a7a18314015139d4c1f0553d7ace44658ab215

Observation c949ec37-2fa7-4bd4-84cd-846400d902ad · inbound

Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models cites this paper.

Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:31:52.627591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:31:52.627591Z digest=sha256:b3edb8917b7df2068a43fcb990ceab1f6f4fe540b080a6f50f45809468414f1a

Observation bb71987a-4d72-41a1-aacb-cb38f5153259 · inbound

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:49.537688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:49.537688Z digest=sha256:fb2a44703451ade0b8ca9cf028272cc5b6027b6a23120ad91ebee94f4fe884b3

Observation 26fd289d-efae-4288-ae4b-a75d89dd9a57 · inbound

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing cites this paper.

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:53.085507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:53.085507Z digest=sha256:269f420805637cceb2a899ca9540966b527508f7cb1ec238eb3b5b1f1ff36cd2

Observation 3fb44b95-ce78-4a3d-a504-3ebc3c94a86f · inbound

ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition cites this paper.

ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T17:18:13.463357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:18:13.463357Z digest=sha256:125e388d9a0650f441a838652e4bb0f676f18422abec9f854dde698aa2fa6560

Observation 9d27ae38-6438-4701-b7bd-1ea3b94eb072 · inbound

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery cites this paper.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T21:37:23.170657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:37:23.170657Z digest=sha256:6b42bf99cae685d9da8df6f8bff4f259664465cc74228a7e9ead30f901ccd34c

Observation 95fb4a9e-c220-415d-bdde-d5b9f80f1420 · 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 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:57:43.023514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:53:13.057587Z digest=sha256:a4f9dff8705a3701495598eec99605f13f367156b570365fa034e050e5b09f79

Observation 06e13c77-1f86-4685-92d9-d8c71fc1b9cf · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:26:06.351350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T20:06:12.248439Z digest=sha256:218d0a89b8e3f3222e0b40932292d32004ba41102d199d74a8b2c3e6ed2dcc79

Observation 3f092213-339f-4205-b783-e956c40cfeb6 · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:15:32.114907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T08:07:09.032028Z digest=sha256:843976c7a33e33101edec5318e8b21e751ac58c1b2bd9e612a773676b5efc9a3

Observation 090958d0-182e-47d0-aee6-06aa481bd146 · inbound

Common-agency Games for Multi-Objective Test-Time Alignment cites this paper.

Common-agency Games for Multi-Objective Test-Time Alignment OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:15:06.553691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T06:14:53.685486Z digest=sha256:b234a2b36b87de357b5ca84d320a0c0d1a3d24744b437626e1c16e6aa6533c38

Observation 5d8c34f0-8115-4b36-bd8e-cde6f08ad2df · inbound

Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations cites this paper.

Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:09:43.677406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T10:23:47.981377Z digest=sha256:6624462a2ef4a27b04fa8ef6c00df292cfeb8998f69515b3e9ae565b0b5e31e6