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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 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 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:23.509174Z

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

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External citation measurements

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:05c46f8d7ec0680e2f9e390a0f9214bcda1251a6304d01581d97f6bad4a10f60

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T22:20:21.427717Z digest=sha256:03d5263a130f687cd2bca58c63b50e112ccd8648b0944564bb6b13c9533e125b

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:18:27.597704Z digest=sha256:f5e7ea3cb060213e39a94bea5ebb53d589ce156b6b0baef01f7735f7cc112381

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:ccdbb7f6df689bdbbae44f91e4652b69a6e0b506db11a43b906537d220d46e1e

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:95de2ca294d2c9c6721db6ce142f2805ee15033f677c6f41ee02a71fac26b4fb

Observation d8c8bd49-689c-46ef-87bb-0b7806a0e424 · inbound

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models cites this paper.

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 2011

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no resolver link, observed 2026-08-12T21:16:35.305655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:16:35.305655Z digest=sha256:7b15a353bbcb659f6b551fb4b4f6176bcb7bd9d3df3a98ea2c3bd33e7050b762

Observation c00241f2-807d-420e-85ae-4c36921f2cc0 · inbound

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection cites this paper.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 48

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source=arxiv_source observed=2026-08-12T19:02:14.549822Z digest=sha256:03302e9e67649e80641457d075490f270901f06fabf643ac131f1f9490b92768

Observation 75c5f589-2eeb-457d-869a-a0139c3d1d8d · inbound

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training cites this paper.

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 34

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source=arxiv_source observed=2026-08-12T14:02:38.957065Z digest=sha256:2116f496e8d9469cb6d4e0b85debacb8e013d4425e488f82c221e0de1cdf47b5

Observation 31dc03a1-f3fd-411f-87d3-e659b81c1d3d · inbound

Linear Probe Penalties Reduce LLM Sycophancy cites this paper.

Linear Probe Penalties Reduce LLM Sycophancy OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 27

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source=pdf_text observed=2026-08-12T04:53:06.475789Z digest=sha256:27cbceba39d68c853d8dfb8684ac2af8e93c216fd88c56fb22a38d8e31b5469b

Observation 014c0f5f-429a-4f3d-a01f-1bd12c226b73 · inbound

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field cites this paper.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 63

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no resolver link, observed 2026-08-11T18:05:58.759931Z

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source=pdf_text observed=2026-08-11T18:05:58.759931Z digest=sha256:9c658e65b7e507511c31c1e171a1b7750c445ed0a496c74aea8e9089e5c268e4

Observation 25eae4ae-77c3-40cc-9148-2042680d628b · inbound

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 39

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no resolver link, observed 2026-08-11T14:47:04.012614Z

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source=arxiv_source observed=2026-08-11T14:47:04.012614Z digest=sha256:8349267cd558a929841531e7fb5f49ec5e03daa67e4e3c6777222fd4a20c412b

Observation 604bf1fd-bb42-4a8b-a4ad-8c593e466fd6 · inbound

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment cites this paper.

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 51

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no resolver link, observed 2026-08-10T23:21:26.882959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:26.882959Z digest=sha256:a5c3ef2177f64d35b30e2fe0122e6e7771adf384f7f664ec2c4f49babb2ea779

Observation 97dcd6fa-7ab0-4e0c-aab4-6b65f5103cba · inbound

Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation cites this paper.

Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 34

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no resolver link, observed 2026-08-10T21:57:44.020551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:57:44.020551Z digest=sha256:3ac82766716f07adead89ee0e6844358922e96f3f96eb7665d1c09d329cd43ce

Observation 3a8322cf-e9bb-47da-8cde-4678738524cb · inbound

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages cites this paper.

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 36

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no resolver link, observed 2026-08-10T21:36:41.884934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:36:41.884934Z digest=sha256:6f52bcfe4de8bf96b654f1c795056b9f300833900818b835dcba875e3678c2f9

Observation eeec823e-f6ed-45c5-9d6c-b5e2ec9ce37e · inbound

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning cites this paper.

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 38

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no resolver link, observed 2026-08-10T20:35:52.844524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:52.844524Z digest=sha256:d4111bc3bc24ad68026515a62cdb6e1cb6078a8274efe41cb85fb8ef2f6c987d

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

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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=sha256:52a857fd0f9680e47d134c41a5b9c6a084c1f164692603e81499dfa663b49c45

Observation 44042f47-c56a-4a6c-860f-907d789aaebe · inbound

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space cites this paper.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 37

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no resolver link, observed 2026-08-16T12:06:23.509174Z

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source=arxiv_source observed=2026-08-16T12:06:23.509174Z digest=sha256:0e7292c10a767e356d3ef0818a063b072bf72df7034dd38e87b249f30f61377d

Observation 0df8a065-97c4-4f26-a21b-8bd9b8464504 · inbound

Ascendra: Dynamic Request Prioritization for Efficient LLM Serving cites this paper.

Ascendra: Dynamic Request Prioritization for Efficient LLM Serving OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 22

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source=pdf_text observed=2026-08-16T05:23:27.283481Z digest=sha256:b8912988e4d7104215b61c72de66ef1089017d562408bc773a298446274b5a3d

Observation 8048d664-1304-48ac-a1a0-7a8f7518a048 · inbound

Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models cites this paper.

Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 38

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no resolver link, observed 2026-08-15T22:54:46.914509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:54:46.914509Z digest=sha256:3ec975f95ca6708c50b5cea47465215fccd4211a0a1fed749c69050b7bc1f01f

Observation e282b713-fc69-4275-9d29-42c4ae9307c8 · inbound

LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English Benchmark cites this paper.

LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English Benchmark OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 17

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no resolver link, observed 2026-08-15T20:42:25.837240Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:25.837240Z digest=sha256:f8fd0ee8ce61e75e143f3ce8294e10d581c3a189a4d1232ff74383bc678fc9b6

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

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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:ad01ab14303abe1aaae1934ad2cb712cfa9e3b2a9ccbb487e7a3804d7f95d0c1

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

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source=pdf_text observed=2026-08-07T13:20:33.151700Z digest=sha256:0b3ad8ee6c3853d74bcb4dd97675b4e964802043d4b2f96c8b8af90463be987e

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

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source=pdf_text observed=2026-08-07T05:31:52.627591Z digest=sha256:c12b7e2718d3b6fa88032a47bd6ba91be435639614fdd4c528984c6b1c97f36b

Observation 42ba0bc9-bd58-44f4-8224-59857ad18574 · inbound

MedSyn: Enhancing Diagnostics with Human-AI Collaboration cites this paper.

MedSyn: Enhancing Diagnostics with Human-AI Collaboration OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 36

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source=pdf_text observed=2026-08-15T23:36:34.378193Z digest=sha256:5881c275c7f26c96d049f1c6910981b1e8c823ec4433ffbcc082c41eca39e681

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:49.537688Z digest=sha256:e0337dd67d6fc6a13ee5db45dc97991085f1a76217a7839478a95761945774e2

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:53.085507Z digest=sha256:21f1ecf9a0d1d4150ced3adcf0df6ea2d96a281c3dc62af56c4206f978e28b87

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

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source=pdf_text observed=2026-08-06T17:18:13.463357Z digest=sha256:de45a5133e7f6c2357591460b9f2a125521ad5ceaf93f49843355b98342113de

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

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source=pdf_text observed=2026-08-04T21:37:23.170657Z digest=sha256:e9a776adad223616a37f5d35224eb235cc7ac89516c2c7c461ceb3f8c5c308ce

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T09:53:13.057587Z digest=sha256:fdd554a23c40a7e3e1caccb555393a418716835b7460b81fe9969c22711aeefa

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T20:06:12.248439Z digest=sha256:72cffadd2120d455b4d6d876497a2aaf845876dc5906c67297d9f391f08d2e2e

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T08:07:09.032028Z digest=sha256:9169dfbf83cd10cf4f2f21bffc3bc0cd109fc5f798be61348c21f5314a4981ed

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T06:14:53.685486Z digest=sha256:1ad91970ec953d98bb4778639718c0cd9bbb3eb8327efbb9eee608cace1d3ec8

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T10:23:47.981377Z digest=sha256:33409786d0d7c828ce5b59ee4d6d57e089752819f07f1a8e64b85bbc4079d27d

Observation 2bce30bd-fc07-49c2-87e1-77b86a42c16d · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 191

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no resolver link, observed 2026-08-12T14:10:45.835200Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:10:45.835200Z digest=sha256:aa1067f8671dac663df1fa4252b1f406e24f630f71e3b7d523ccbacd1d6be07f