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Paper Citation Record · LEDGER

Rationale-Augmented Ensembles in Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2207.00747.

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

pith.paper-citation-record.v1
2207.00747 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:07:40.896770Z

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

External citation measurements

29
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 6a9d9480-3446-4e29-9888-810d930495b4 · inbound

Large Language Models Can Self-Improve cites this paper.

Large Language Models Can Self-Improve Rationale-Augmented Ensembles in Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:00:48.277493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T17:00:48.167441Z digest=sha256:00a3c83202e1263680df8b029fe0e8dd16cd0443709c122bc8c132f30418de75

Observation cf65bf5c-1cf1-4ff4-92c6-4f240924c70e · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Rationale-Augmented Ensembles in Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:02:50.158927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T05:02:50.117120Z digest=sha256:82121fb2922b17cc122946bc0d2c3b3a95d7cfbcf2b07401a3a51c7bc4d0c6b5

Observation a1318057-c521-4dc6-aba6-d657c2ea2bcd · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Rationale-Augmented Ensembles in Language Models

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.588346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:c9bcff8db8d9f8b0f48508a4531e0217730d17af8d97138ee16fcec5615cf681

Observation 0aa03b69-680b-47c3-85d0-94f7496fbdc1 · inbound

Measuring Faithfulness in Chain-of-Thought Reasoning cites this paper.

Measuring Faithfulness in Chain-of-Thought Reasoning Rationale-Augmented Ensembles in Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:51:40.105665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T20:51:38.390234Z digest=sha256:b6f70f976187acdcec522e77d30a88f8b8cc22b7c7f135ee068c08a57c409c2b

Observation a11552b6-d82c-4d87-a5bc-4cf88d202bf9 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Rationale-Augmented Ensembles in Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:57:47.160960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:6e9f247ab7548b16cca64af7fbaa90f5fe58eedcf559a86037cc5586505c5857

Observation 600bba94-90cd-433e-beb2-3a9120ebd415 · inbound

LLM Multi-Agent Systems: Challenges and Open Problems cites this paper.

LLM Multi-Agent Systems: Challenges and Open Problems Rationale-Augmented Ensembles in Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T10:23:05.117866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T10:23:05.028790Z digest=sha256:b634b2e762ca5e90edbb82523e7d5f66f5b9a85639d0ad08fdb3ecee732b28ef

Observation 02d6c0ff-be42-4875-b49f-8ed641d757af · inbound

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Rationale-Augmented Ensembles in Language Models

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:51:29.303262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T15:51:29.022336Z digest=sha256:795eac7177ac4a582b59b44ce25c431438ce6d5dab6144b924d5b93a199ea02f

Observation d46fd773-45ce-4497-b615-0a092f0d0b14 · inbound

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning cites this paper.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Rationale-Augmented Ensembles in Language Models

Reference 908

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.896770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.896770Z digest=sha256:d224bc1f27512ff4c34c39644269faa6a7242dc7c999e5037f46f3010d06e78f

Observation 251f4e0c-aff9-4494-bedf-762085202fce · inbound

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report cites this paper.

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report Rationale-Augmented Ensembles in Language Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-05T10:40:24.796209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:40:24.796209Z digest=sha256:23af025e93a032016e8048dec157f49fd54e022336f7645080caf72573c2473c

Observation 32f2e005-ba1d-4c2b-abbe-478585daf7e9 · inbound

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale cites this paper.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Rationale-Augmented Ensembles in Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.921858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.921858Z digest=sha256:fc8a0469898fdc151efea4697dddd9e1d2e3ebedc2ef2a30a6259671c129c806

Observation 19c6b939-e978-4849-866f-0dcf58d3a6c4 · inbound

Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation cites this paper.

Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation Rationale-Augmented Ensembles in Language Models

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.254298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T05:52:38.442341Z digest=sha256:3adc580a6dfbdf4b8167520c7ecf0300215e539f109bc282f139a2a86de7fc60

Observation e0329aca-a659-4a9f-8bb5-dc234434199d · inbound

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents cites this paper.

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents Rationale-Augmented Ensembles in Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:21:23.763353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T17:16:00.988125Z digest=sha256:7eeb849b036749dfbf713f04aefccdd0575ec1bb84afd208bde148d11bad2c54

Observation 6fcd142e-eab6-4bbd-951c-7104d5cdf488 · inbound

Selective Rollout: Mid-Trajectory Termination for Multi-Sample Agent RL cites this paper.

Selective Rollout: Mid-Trajectory Termination for Multi-Sample Agent RL Rationale-Augmented Ensembles in Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:09.043112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T15:31:23.161009Z digest=sha256:4d348ba627541464d6b168a4de2e39c4ae99d0835eaadab93f1d5573961ad92a

Observation 8be51ac7-e67f-4d05-9e55-1c459dbbce75 · inbound

A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback cites this paper.

A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback Rationale-Augmented Ensembles in Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.002999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:27:26.911873Z digest=sha256:1dd8df0ae13bea88dd02c1539154cabe41f768c7411ca2fe35af0b59495324cf

Observation cebbf873-d828-4175-89a4-1b7d081f939e · inbound

Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs cites this paper.

Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs Rationale-Augmented Ensembles in Language Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.765166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T18:48:36.147561Z digest=sha256:8518a75e5da187dc84e588d3866ef6beb91025e29c437b99bf3971a14107a61f

Observation 61df27df-49f0-4992-9fac-9b92d8c7ea5f · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Rationale-Augmented Ensembles in Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T02:35:15.889831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:9c06fab7411c670fe5cdaceb29e39fcef5ee9675b9264ea3243ae656dc7f45ed