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Paper Citation Record · LEDGER

Language Models Coupled with Metacognition Can Outperform Reasoning Models

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2508.17959.

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

pith.paper-citation-record.v1
2508.17959 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:03:44.109541Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b744b9d-291d-4ac0-b90b-7d0a516dc0db · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-15T17:03:44.867099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.894861Z digest=sha256:7e4e972739b39e0c3a72775df0b8718588ffbc6aa1e013fe3de078ae9a2090b1

Observation c8c251a6-4342-401d-911f-c9e11e40fef1 · outbound

This paper cites On the novel geometric and negative binomial INAR(1) processes.

Language Models Coupled with Metacognition Can Outperform Reasoning Models On the novel geometric and negative binomial INAR(1) processes

Reference 2

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verified exact
local_arxiv, observed 2026-08-15T17:03:44.461167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.901296Z digest=sha256:79743ff4015e0b0ac0e6799cae76aa8ef15adf73710e435d2f49b1797dab270c

Observation 96a3b1c8-1230-48b6-83b4-02907a56c1ca · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.906903Z digest=sha256:00cdf1157f0731a0a4a2c70e2d03e9207c506d50a5810f9b2ad7a72a71713178

Observation ce8e9096-2cd8-49a3-9d11-1dad345ba4cc · outbound

This paper cites Language Models are Few-Shot Learners.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Language Models are Few-Shot Learners

Reference 4

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unresolved
no resolver link, observed 2026-08-15T17:03:43.912677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.912677Z digest=sha256:e1ae4a245d46ac10aeb44a635b71d3581677667527e72ccf956b27ed8623cc2c

Observation 1ad6bae1-661f-45f1-87c3-e429bdc7a631 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Evaluating Large Language Models Trained on Code

Reference 5

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unresolved
no resolver link, observed 2026-08-15T17:03:43.918629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.918629Z digest=sha256:2ce63fce40bf13482f9391ac1374ad3ea1addd9edd0234417c16decbb51bf217

Observation de84c576-0418-438b-a2c2-fc45214365e2 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.832729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.924268Z digest=sha256:1a4976a5959bca821c6e45486911d4743be453f7c96a8898d31ac9876e728853

Observation f8c7e5fb-8b0b-4f06-a4cd-16695b90b154 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.815894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.930000Z digest=sha256:827cd5fc012fc94f16c19f51cd0db9d53356f6b99109eb0f0b4850d9df484129

Observation 67efbec8-89bd-47e5-af19-5e9962a7c65d · outbound

This paper cites B.; Loreggia, A.; Mattei, N.; Murugesan, K.; Pallagani, V.; Rossi, F.; Srivastava, B.; and Venable, K.

Language Models Coupled with Metacognition Can Outperform Reasoning Models B.; Loreggia, A.; Mattei, N.; Murugesan, K.; Pallagani, V.; Rossi, F.; Srivastava, B.; and Venable, K

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.801532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.936029Z digest=sha256:4f938ea2eb639cddf6aeabf6adff6841fcac871807faee231e42ef225ce3c57a

Observation 7fc6e7cc-fcc8-4bbe-be97-50a41205ca06 · outbound

This paper cites B.; Horesh, L.; Loreggia, A.; Murugesan, K.; Rossi, F.; and Srivastava, B.

Language Models Coupled with Metacognition Can Outperform Reasoning Models B.; Horesh, L.; Loreggia, A.; Murugesan, K.; Rossi, F.; and Srivastava, B

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.785988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.940998Z digest=sha256:a98df5a60536d4055547f51cf2c30ae390f88131540e3d4ef749a0b0843fb4cc

Observation 61953e07-f63b-4afe-94c2-b0c7fc984a30 · outbound

This paper cites B.; Campbell, M.; Fabiano, F.; Horesh, L.; Lenchner, J.; Loreggia, A.; Mattei, N.; Rossi, F.; Srivastava, B.; and Venable, K.

Language Models Coupled with Metacognition Can Outperform Reasoning Models B.; Campbell, M.; Fabiano, F.; Horesh, L.; Lenchner, J.; Loreggia, A.; Mattei, N.; Rossi, F.; Srivastava, B.; and Venable, K

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.768030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.946282Z digest=sha256:defaa3c54b9e9f4ad7b30fa1f788045e07879f9e7113a1fad4a9cf4cf37417f1

Observation f6c7635c-2734-4594-a7ee-932aa4c8deb3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Language Models Coupled with Metacognition Can Outperform Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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unresolved
no resolver link, observed 2026-08-15T17:03:43.951449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.951449Z digest=sha256:259ac2a550744d596e2206e4d58daa1f126620d56edfc688c85642e071927980

Observation ea2092bc-00b8-4514-bca8-43e3a38c07af · outbound

This paper cites PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs.

Language Models Coupled with Metacognition Can Outperform Reasoning Models PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:43.956901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.956901Z digest=sha256:67fa7bc0612494992d55f368ad0ffcbb4b5326b7505022aaed4e0298e98111cd

Observation 3757e65e-70ee-421a-a4ca-5107d4d42aad · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.750219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.962383Z digest=sha256:8210fd7327e1e025a4278dd19fe790622c861b6e9b87d4bf7301c761a458d9f1

Observation d9109623-e6cc-442f-bb60-e5954737a441 · outbound

This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Language Models Coupled with Metacognition Can Outperform Reasoning Models FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-15T17:03:43.967232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.967232Z digest=sha256:7554893c719d03d8f7bdcedaa503271b87a360a0c688b2d07f4c5c1782a8caa5

Observation af9874de-174a-43a4-9164-de2eb4855d1c · outbound

This paper cites S.; and Trick, M.

Language Models Coupled with Metacognition Can Outperform Reasoning Models S.; and Trick, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.733060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.973006Z digest=sha256:4f160c345e22cefddbadaa7f78f862cf69859e688c7076afc2552ac3b1322e9f

Observation f144e2ed-3bd9-4d50-b7d8-1e6fe3e4fde6 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.716218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.978324Z digest=sha256:061236323ff81bd03984fd693ee2a73f75451f178b65b17101e5a8320aa2235e

Observation d3386af9-9a3d-49b0-badd-dff3c8e494e8 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.700046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.983509Z digest=sha256:a669c6c3c92b051bb771cfd62f8391a59ddba78960335cc665fc687273b0b6fe

Observation 001195ef-9a74-4e48-8ace-f3d0e0c74d93 · outbound

This paper cites S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y.

Language Models Coupled with Metacognition Can Outperform Reasoning Models S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:43.988687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.988687Z digest=sha256:a63a40b3093cf68464ee879a824577656a40dde562be06fd2b23143e7fb68259

Observation 1d4765bb-fdb6-44ef-81ac-c03f47e1f765 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:43.994358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:43.994358Z digest=sha256:7926e9e92b8604af9a2506e83165b65ef82f6a975d17511d59d0db374144fa44

Observation 072784b7-9b5f-4102-8ccc-793584f1100b · outbound

This paper cites Let's Verify Step by Step.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Let's Verify Step by Step

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.000150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.000150Z digest=sha256:e0a2b7964545d2c09c5c50e4b3a058814cc1439cd219f3081386171548526f7a

Observation 66c11d19-2c3a-41ff-8798-3e5566052955 · outbound

This paper cites Y.; Fu, Y.; Yang, K.; Brahman, F.; Huang, S.; Bhagavatula, C.; Ammanabrolu, P.; Choi, Y.; and Ren, X.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Y.; Fu, Y.; Yang, K.; Brahman, F.; Huang, S.; Bhagavatula, C.; Ammanabrolu, P.; Choi, Y.; and Ren, X

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.670348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.005643Z digest=sha256:5213d933806f6830b4df027521c9ceb3293f111c838c0aac9bca820340c5347f

Observation d85b2200-ae9a-4670-928c-5124c3db4520 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Self-Refine: Iterative Refinement with Self-Feedback

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.010596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.010596Z digest=sha256:d56fa5eb07608c710bb7e303fc9eb665de0c4fb8a120040a80b662dd2c483e6d

Observation a6ed3c9e-21e2-48ba-bbfd-5c8772573e95 · outbound

This paper cites S.; Gala, A.; Magalh \ a es, R.; Perez de Britto, F.; Dur \ a es, D.; and Novais, P.

Language Models Coupled with Metacognition Can Outperform Reasoning Models S.; Gala, A.; Magalh \ a es, R.; Perez de Britto, F.; Dur \ a es, D.; and Novais, P

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:03:44.650672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.015473Z digest=sha256:eb453f01e6b3c96b87eadada0943fb7edb661adbe63dd35174b2564b9bf2578d

Observation 206562eb-d498-48f7-8339-19556de53f3f · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.632323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.020034Z digest=sha256:fcb4dc8be04c8153a0235f224d62e013ef576cb925d5360920097a897b5dbb2b

Observation 2ed7edd2-ec47-4ca9-a220-07330dc40ee2 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 25

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unresolved
no resolver link, observed 2026-08-15T17:03:44.024383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.024383Z digest=sha256:a4b3883464bf1aecbc7cf27504c52de53849ffee192ac87677919ea13dfdf1ba

Observation 489dc98a-e9a6-4367-8488-ce91ebef65b4 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.616225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.029141Z digest=sha256:7fdd42a0fcdf59f80a71c724c940cf3cd29a5f8407a0a26388014fccdf68e290

Observation fd2447f1-ce61-459f-9df1-17f0b9000dc4 · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-15T17:03:44.033343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.033343Z digest=sha256:26681209e6be22af09b27aacf697e3dc4330bdd8ee52d15cfde7ed153e7e7e9a

Observation 07a747b6-ef1f-47df-954c-57f9e7ea8c02 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Solving Quantitative Reasoning Problems with Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.040662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.040662Z digest=sha256:de3ce3ae3de7d3640efc4fca91da81016b36ded87a291de687bdb2d00f51fe77

Observation 1050db6f-7125-4f5d-a8d7-3d3e2d44aef9 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.046070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.046070Z digest=sha256:9118017d17e3f6af58a3d50916720dd144a2b128eff48ba78ce597bae0b04b24

Observation 981b1d32-c9a0-42eb-a89b-e9ade9b85dad · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.594288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.051480Z digest=sha256:ad60bd91881a62121090cbc783c94f1565245060a8f0c90d1ef654b6cb4f78b4

Observation 1203d772-85ed-4176-99cc-b6e8161da567 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.056512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.056512Z digest=sha256:640165c8554bd834c2108ef6f2aab8bbb88af9eed90d21ed4e2fc76bf3e4e31b

Observation a98cd6a9-6c69-48a4-88bb-81821afc1775 · outbound

This paper cites On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks.

Language Models Coupled with Metacognition Can Outperform Reasoning Models On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks

Reference 32

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unresolved
no resolver link, observed 2026-08-15T17:03:44.061698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.061698Z digest=sha256:41204c1f5f6d917a90d723fd40d43842fc4ae96c5da2d9e400eb9acc2e26428b

Observation 68ef6aec-0bae-40c4-830c-87f9e19398cd · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.574103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.066848Z digest=sha256:907cec8ef86ae4cab8a55b0d27cfe1784d4d91e8c2c608373d4b3f2274c6f72d

Observation 035ae474-ca36-4ed7-b1ab-09c4c794f576 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.556052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.071943Z digest=sha256:5a021d07cf834ed5bf6a6b471e6f612583b4d5602d9875a6988d03025690e0f1

Observation 490b2c28-b50c-4a11-9b74-8a048699b3c2 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.538217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.076904Z digest=sha256:7fc8a9979f6255582e8ca43f3a1285fb4136a9f3f6b99d4ff68fe3045784c5e0

Observation d8e56ffa-a5dc-473c-906e-a507dcf0cc5e · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.083150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.083150Z digest=sha256:907a5953e76623db3068529e1baff0a9ebc89453bd6a4372de805e1caa279fa2

Observation e1c01dff-3609-4324-be1d-1080d13b906f · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.520689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d8485295-1c94-48c2-94bf-7ef66d346a47 · outbound

This paper cites an unresolved cited work.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:03:44.502634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.093653Z digest=sha256:1d99d042da97f63a780168e46f8b68409cb4590e0e88384e24df27937576af56

Observation cf675938-d263-4982-a6a3-43cd71e54700 · outbound

This paper cites Qwen3 Technical Report.

Language Models Coupled with Metacognition Can Outperform Reasoning Models Qwen3 Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.098650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.098650Z digest=sha256:8fa6352239cbc6e6ad09f5740d8956a362265b3b9c34c363c811c392d5f0dc3a

Observation 4b13b32c-b0fa-4b65-b534-287fb01f93c7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Language Models Coupled with Metacognition Can Outperform Reasoning Models , " * write output.state after.block = add.period write newline

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.103966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:03:44.103966Z digest=sha256:9eb92d150793aad7aa8931b1af72c5dcb41fad790065187d87375e81a6956af9

Observation 541762c3-c25c-4ebf-91fc-0b26157c889d · outbound

This paper cites write newline.

Language Models Coupled with Metacognition Can Outperform Reasoning Models write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T17:03:44.109541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.