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Paper Citation Record · LEDGER

Thread of Thought Unraveling Chaotic Contexts

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2311.08734.

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

pith.paper-citation-record.v1
2311.08734 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:09.811047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.828104Z

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 4beb40c7-ffe7-4ad7-8eab-449c2a3f0f70 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Thread of Thought Unraveling Chaotic Contexts

Reference 25

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arxiv_id, observed 2026-05-12T21:52:10.357873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:1bff6d97cec44a4d9d2a1e92ea71f71e933ae8595800939cd34ee29317a8ce8e

Observation e409346d-9884-4a68-b64d-28ddc9eb0717 · inbound

Large Vision-Language Models for Remote Sensing Visual Question Answering cites this paper.

Large Vision-Language Models for Remote Sensing Visual Question Answering Thread of Thought Unraveling Chaotic Contexts

Reference 13

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source=pdf_text observed=2026-08-12T19:15:40.622649Z digest=sha256:d2d55032a07413a3e050383299a9e7193ad03baafaef721ad2d48f0cb824b7c4

Observation 1e24b1f6-a4d0-4847-b569-33edf32bb74e · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models Thread of Thought Unraveling Chaotic Contexts

Reference 50

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no resolver link, observed 2026-08-12T16:25:37.028306Z

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source=arxiv_source observed=2026-08-12T16:25:37.028306Z digest=sha256:0a1708ed283ebf43d8a1d071030459ec7511b974031393648aa6fa03b689aa88

Observation 844c76aa-9d9b-4eab-a618-c436c6954638 · inbound

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms cites this paper.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Thread of Thought Unraveling Chaotic Contexts

Reference 3

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source=arxiv_source observed=2026-08-11T23:50:13.140389Z digest=sha256:ea25d768a8f237453e72663481b6f5cce62de4f7e2775dbc2441f088f42734eb

Observation 46a9a2be-86eb-4fed-abf5-168da3d1178c · inbound

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects cites this paper.

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects Thread of Thought Unraveling Chaotic Contexts

Reference 28

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source=pdf_text observed=2026-08-11T19:53:24.046026Z digest=sha256:cb06df3188bb8d52309074aaf405eec097825f1d1f713bc71f15103c4969e6b0

Observation 6de94063-b67b-4d39-bb47-06d6a359acfc · inbound

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning cites this paper.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Thread of Thought Unraveling Chaotic Contexts

Reference 2023

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source=pdf_text observed=2026-08-11T17:25:18.820023Z digest=sha256:f60b23c419317a412e4b1e311ba48f72b894c169bf41fccff63a994d5090c37a

Observation 8df84707-cedf-4f6d-9c2d-d8de6820eb00 · inbound

Reasoning-Aware Query-Focused Summarization over Multi-Table Data cites this paper.

Reasoning-Aware Query-Focused Summarization over Multi-Table Data Thread of Thought Unraveling Chaotic Contexts

Reference 2

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source=arxiv_source observed=2026-08-11T17:26:18.471223Z digest=sha256:6bc1a17dc5b82746a4d372053af7a06dc7d4a93a4ca95dee6fe61f57c0e0b267

Observation 99590150-1f20-498d-b55c-7ecd955fdce6 · inbound

Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction cites this paper.

Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction Thread of Thought Unraveling Chaotic Contexts

Reference 2023

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no resolver link, observed 2026-08-11T16:40:38.970129Z

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source=pdf_text observed=2026-08-11T16:40:38.970129Z digest=sha256:25d2b3da1e5e3a604fab5bca6f11a1989de97964359c4b446f8974275ba93b62

Observation f3f255cc-1e9a-4248-9985-3bdc68b45e46 · inbound

TACOMORE: Exploring a replicable prompting protocol for LLM-assisted corpus analysis cites this paper.

TACOMORE: Exploring a replicable prompting protocol for LLM-assisted corpus analysis Thread of Thought Unraveling Chaotic Contexts

Reference 6

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source=pdf_text observed=2026-08-11T16:23:24.670706Z digest=sha256:12bd46790a878ec47c5cac8a9273e650cea6daefeff0d5af873ae069860fa567

Observation 38fb7a67-f1d4-430b-9953-5a35a52b049c · inbound

Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives cites this paper.

Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives Thread of Thought Unraveling Chaotic Contexts

Reference 15

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no resolver link, observed 2026-08-11T15:44:54.875118Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:44:54.875118Z digest=sha256:b25c97548d4d59274c8497bbdc5113f098994c1770027ac88b127c790900245d

Observation 2955da0a-9076-4f0e-b18b-bdea223b1209 · inbound

Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models cites this paper.

Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models Thread of Thought Unraveling Chaotic Contexts

Reference 18

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source=pdf_text observed=2026-08-11T15:03:10.570064Z digest=sha256:029b2e372ff3c5b43fc5e4a93ce36a2bc5d2c7421c6549bcd085a46b5dda6c65

Observation 0dbe3546-1211-45e8-9d79-dd29b9614a03 · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Thread of Thought Unraveling Chaotic Contexts

Reference 48

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source=pdf_text observed=2026-08-10T22:51:52.284796Z digest=sha256:0bfb11ea9e4ce579f2d12cd4a6cb818378f4e2fcb15613fe74baa2c207e60ecd

Observation 9415785d-b7e1-4f13-be04-9c43d8bd52f8 · inbound

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning cites this paper.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Thread of Thought Unraveling Chaotic Contexts

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:10:05.426060Z digest=sha256:ed7455c9e569e0654334c4f0e94f3566e72f4116455efc756979cc413ef5976d

Observation 53b1326c-2850-4720-b578-611e07442da0 · inbound

Instruction Tuning for Story Understanding and Generation with Weak Supervision cites this paper.

Instruction Tuning for Story Understanding and Generation with Weak Supervision Thread of Thought Unraveling Chaotic Contexts

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:12:29.948885Z digest=sha256:8291d8cc116c0506af05149b10a1c07afaebce751904e66503dca938d2cd1906

Observation a64edd97-390f-405e-83f6-f7a80a8ae4ce · inbound

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision cites this paper.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Thread of Thought Unraveling Chaotic Contexts

Reference 11

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no resolver link, observed 2026-08-09T17:36:27.762718Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:36:27.762718Z digest=sha256:e095675f95f53b531211a2fd72197e20ea4209e8c03d41eea91e9a69584b3968

Observation c6511f80-f78a-40ca-8e7a-8da689b777da · inbound

Typhoon T1: An Open Thai Reasoning Model cites this paper.

Typhoon T1: An Open Thai Reasoning Model Thread of Thought Unraveling Chaotic Contexts

Reference 65

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no resolver link, observed 2026-08-07T22:52:54.443952Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:52:54.443952Z digest=sha256:8f2b6ee9e6b980e37d27ddcd6c908116b2d22956f083300c03ae59b0ee42c002

Observation c7b0b69e-03ef-4038-81b7-0ccbc67eaa44 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Thread of Thought Unraveling Chaotic Contexts

Reference 122

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arxiv_id, observed 2026-05-23T01:12:20.883303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:451b54388b647deac7eb7c16ee1bdd42847eb418c14aa0aa29d06bb531a1674d

Observation 405dd9cc-36ca-4a72-8384-595d0f90b761 · inbound

LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation cites this paper.

LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation Thread of Thought Unraveling Chaotic Contexts

Reference 16

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source=arxiv_source observed=2026-08-16T11:07:26.234852Z digest=sha256:5d5636ac74caec7c2159f253d549853c040a7b928937661a5ce913a718b6b82c

Observation 634891e2-62f2-4fc5-b9c3-0a1ab0457a66 · inbound

BELL: Benchmarking the Explainability of Large Language Models cites this paper.

BELL: Benchmarking the Explainability of Large Language Models Thread of Thought Unraveling Chaotic Contexts

Reference 32

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no resolver link, observed 2026-08-16T11:21:09.811047Z

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source=pdf_text observed=2026-08-16T11:21:09.811047Z digest=sha256:4ec94b87df1b8593647926b98e21d2a2749a3ae0c951a951ac445c8b8168ee58

Observation c95b43dd-3b4c-4e8a-8378-033b931b4f96 · inbound

Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers cites this paper.

Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers Thread of Thought Unraveling Chaotic Contexts

Reference 23

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source=pdf_text observed=2026-08-16T04:25:04.308006Z digest=sha256:6d4b0c0163a0874053c121736d6cb954c4bef4ff8f881f64e390cc86d676f0ee

Observation ed18fd12-8613-45dd-8284-25c494382d63 · inbound

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers cites this paper.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Thread of Thought Unraveling Chaotic Contexts

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:17:30.037819Z digest=sha256:d7e200ef010182cf5751b63a57e35ad5fab58ddb339d3f241265a4df77ff8f74

Observation a6372b50-acf4-4257-b6cf-7feba649e2e0 · inbound

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning cites this paper.

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning Thread of Thought Unraveling Chaotic Contexts

Reference 36

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no resolver link, observed 2026-08-15T23:04:05.836354Z

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source=arxiv_source observed=2026-08-15T23:04:05.836354Z digest=sha256:18465c99bcb2ff31359d1e28a40c6678dca0697bb798a506f1393b4ce56f26cd

Observation 11c74da8-437d-40c2-a8b0-376f1b55708d · inbound

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation cites this paper.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Thread of Thought Unraveling Chaotic Contexts

Reference 6

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no resolver link, observed 2026-08-07T11:54:55.986013Z

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source=pdf_text observed=2026-08-07T11:54:55.986013Z digest=sha256:bd3947ee8df535dc5525db0dd50cfdcb50f6921a6ce516e7f388936ba8ea941f

Observation 53c354b0-3667-4f10-8c58-6f2d395c3cc4 · inbound

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks Thread of Thought Unraveling Chaotic Contexts

Reference 59

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source=pdf_text observed=2026-08-07T10:19:40.438435Z digest=sha256:5a62d968f408463cfa05b10b9af79d351aee69b2c1e85d1062ef1e044aeed31a

Observation 1365ae65-0aae-44aa-870f-f3af36727cbd · inbound

LVLM-Composer's Explicit Planning for Image Generation cites this paper.

LVLM-Composer's Explicit Planning for Image Generation Thread of Thought Unraveling Chaotic Contexts

Reference 7

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source=pdf_text observed=2026-08-06T19:58:02.468597Z digest=sha256:a1685b7ffb93c33f649cb2ccf7d12c4648f0c152dd21eb4663c207f75bc4ac7c

Observation 13c19543-af14-4bc3-b3f7-9c6546518aa4 · inbound

DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents cites this paper.

DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Thread of Thought Unraveling Chaotic Contexts

Reference 5

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no resolver link, observed 2026-08-05T22:28:37.355969Z

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source=pdf_text observed=2026-08-05T22:28:37.355969Z digest=sha256:d05e72474ada237bf1cb0c6d26c6d06d29c82b15b74a8f8dda761e2c4fbcf99c

Observation aa513c0e-d795-4ef4-91ad-5bdc1bbde082 · inbound

Hierarchical Contextual Grounding LVLM: Enhancing Fine-Grained Visual-Language Understanding with Robust Grounding cites this paper.

Hierarchical Contextual Grounding LVLM: Enhancing Fine-Grained Visual-Language Understanding with Robust Grounding Thread of Thought Unraveling Chaotic Contexts

Reference 8

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source=pdf_text observed=2026-08-15T17:12:14.862091Z digest=sha256:04080986087c0fed259bb8f57afecc683156636b15ab0739348bb49fc8bb9b8d

Observation c71a7233-b7c4-4206-9dce-39164db4df48 · inbound

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation cites this paper.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Thread of Thought Unraveling Chaotic Contexts

Reference 35

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source=pdf_text observed=2026-08-15T17:04:06.567472Z digest=sha256:272a0b8acaf38bfbb83193a453065344619b49cdc5c4b4b19a0b48785edb7a62

Observation a39bc6ec-09b6-429d-9ea8-e21a62945466 · inbound

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization cites this paper.

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization Thread of Thought Unraveling Chaotic Contexts

Reference 6

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no resolver link, observed 2026-08-05T05:12:54.416113Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:12:54.416113Z digest=sha256:e06502e454850cf6d208d6689d6c2371eb2cff98ffe67eb43cab923382a01d4c

Observation 0a6ef661-3398-41e8-9169-9ee37903781b · inbound

Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity cites this paper.

Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity Thread of Thought Unraveling Chaotic Contexts

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-11T00:25:52.212522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T18:31:24.784166Z digest=sha256:d0ce535f5ad09a581d7a7695aa53795150b7e485cadb75b8d298e49134f75aff

Observation 88fa1f20-f0d1-4a0b-b0f6-cc6a70a124b5 · inbound

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization cites this paper.

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization Thread of Thought Unraveling Chaotic Contexts

Reference 35

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arxiv_id, observed 2026-05-10T03:14:07.691473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T03:14:04.535856Z digest=sha256:fd797845fcd738733432bf954e8f0cf75e9826b74d49652ada15ba51e0db742a

Observation 021a2b45-369f-47c8-a883-3b277a7521fa · inbound

TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering cites this paper.

TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering Thread of Thought Unraveling Chaotic Contexts

Reference 58

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arxiv_id, observed 2026-05-21T03:19:29.003293Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T03:15:18.040635Z digest=sha256:9d7f56a7c534ef25019f6f5728e22bce89b561f0db4ec2397a4ca3aa98607c44

Observation ab9dd275-57e0-4943-bb92-7156ad6bf851 · inbound

World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning cites this paper.

World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning Thread of Thought Unraveling Chaotic Contexts

Reference 5

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arxiv_id, observed 2026-07-02T02:46:29.427578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:34:19.404406Z digest=sha256:1d50176dc4e6ed01da9c9c7814c0b024ca8bbe69a8821f346f962a3338111508

Observation 945ff53d-9fca-4f05-8060-bfc0a3851c8d · inbound

HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification cites this paper.

HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification Thread of Thought Unraveling Chaotic Contexts

Reference 11

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arxiv_id, observed 2026-07-01T08:35:33.774778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T08:26:55.681270Z digest=sha256:7c086fd40a94b0f5b60739c6113fc31d55e1605bb43474b71721e36e72a45c6f

Observation df6d2874-0050-495c-89ea-2cf8f19009c0 · inbound

Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models cites this paper.

Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models Thread of Thought Unraveling Chaotic Contexts

Reference 5

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local_arxiv, observed 2026-07-10T13:47:05.829441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-10T13:39:15.355054Z digest=sha256:f56d680b475f72ba9379e3cd3daaedefd743ba5e8a049530e5ea8cc5a5d30b9e