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Paper Citation Record · LEDGER

Language Models Coupled with Metacognition Can Outperform Reasoning Models

As of 17 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 2026-08-17T06:30:58.91139+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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.894861Z digest=sha256:bebf133ae49ca476d15589d235d524d988b2200ed8de9e492f0ceb08ff2cd02d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.901296Z digest=sha256:fbecc5e94eeaaa2b6192de4648eff1dbbd13e20f7ce5c0f660c2cf6c86c66fca

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.906903Z digest=sha256:5b818fd4b91394a71a8278ed195530b4fca416ff9eaa8e0154f7d37cd46c8d9d

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:ca2490d4bb9881d30f972a6eca75e9fd0a9bd19a1a8676dd16e39022776adcad

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

Resolution
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:d24d35ff382c10271e4a1ff1e616f7f3ccaf0b55501f9dde8ed13e81de53498d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.924268Z digest=sha256:84d42143a742b07f4d19f8f07412286ec8a2e963b34106ba5a87bee43e2845eb

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.930000Z digest=sha256:6ade94bd872f8736f267711f6e097f827932bb8855f1ef5580c2304870190894

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.936029Z digest=sha256:496958d902e214e37235c14cc76ab9805f7ba100a2a640eb75c2fb869c645b61

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.940998Z digest=sha256:0192b38345836a0c7ed52e7accdc760e72768c412339d9b65b6fae1c8f4fbdca

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.946282Z digest=sha256:eb82619ade1f01e359b16ac56361bb26c1b1457c4119e3bc6803432d55131fc7

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

Resolution
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=sha256:0c6f4152b3e4b8dbf7e8d61849bed15db9c0faf648598d05684f6bbb526982c5

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

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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=sha256:20ea7ba5fb563f806a31d3ee5aa78eef8f38d984c660d551b18beaf3014408d5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.962383Z digest=sha256:71f24cb7840d339e8f260681dc2ef3c5d916b38f92515f73ef067d7b3108dfc8

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

Resolution
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=sha256:75fc883faa08759520afff9460b2c7f22bd8b9f21c0eb49a4e2923ae8e09504f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.973006Z digest=sha256:43d875759081fb3d743e293eb2f24c2f950a9e1d499553b318e9c8da0b587dda

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.978324Z digest=sha256:4211e14b2c62b15e094255937e4cb7d5d4c8ff0c8c9834b69b970728f69de01f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:43.983509Z digest=sha256:be23bd931b79558cc0d2a7f70f1e4d30d10589c5f0d976a44b45e359ec3b5173

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:c70080341d697327a35a4a17e8a017bd772adda85d2b615122229bb1441d5dfb

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:db5cc192245bc142f60fd1a9dbcb81e5cfb23beb4b0f8429e2504ee6616b07cc

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:a10ed65ec7f09dee4b9f41db5de848c830669c0c2dfcadf791c4bf8301a3e161

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.005643Z digest=sha256:f6f3992abcd024d1dc964a099d87c3467700dceb88f4cf0000f4af1af5c098b4

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=sha256:5b09381c2e05c2dcd9140c97f7b19e8f9efe8f7bfc115b6e5737d4e9d8811ca3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.015473Z digest=sha256:faa34d85b4e417c9c94726dba44e7ead1e4fe0e41865789d8ef7e7f604db1ada

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.020034Z digest=sha256:5fe985ca2567ea27049fc8337eb0e6e124486624a732942da552610ae2b5d46e

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=sha256:37fa1a5ec58a7be6eb962f7e7d4ae32b5a5b4630e40d79efaf0a64ad6ba62cd1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.029141Z digest=sha256:ed82ba1ce083d99c6774ab795647c5c9721c8db89e71da4de0e4eea987f90e8a

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

Resolution
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=sha256:5dc6105731bded12ff7c0386b0c22606cd1ed5687490b1114de0695b4065ed56

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=sha256:30705d6656a041a307ed547d4718b95119b02dd3386bcdc9d4852fc5c47bf369

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=sha256:928beec6721cf379611c982aa2378538630122fe00a2db3d3b0af3cd4ab7d6f7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.051480Z digest=sha256:5420d6e458172b1056440d48ecae7ad28cb2ef5d05fa17e620080dc59ad4168c

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=sha256:4320cd0fab15eafd504996ecf40305e3ec1f0f53a1083dec9076122d7a94538c

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=sha256:58e5bc468dabc1a84631f5dd74711f21b48d29c297c2aadfc2065a8cd1d9f398

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.066848Z digest=sha256:f84ef9ac9a3464622d81f4db91e504dbe41d9c0eda40b582adf244c6d7482444

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.071943Z digest=sha256:175f45f4e599b7d9e0df7dcd3dbe2333891bcfffa855addde5f2c4e851ff57aa

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.076904Z digest=sha256:f2212bd57c28bea0b38d4db93eb1295dcc3e9e1627932e1b83f14195c1a5f139

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=sha256:3c9d1414e1fa9d5497aef862d67ecaba647b527b028b0ae3085dc866147882a9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.088378Z digest=sha256:b271c0535985f71c74376335febcb11f255f91dff3a37dc2fa77faf67ef72c0c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:03:44.093653Z digest=sha256:87e24d79add05e92ffbc510904841402881bfbea7eda11e6615a49880655b464

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:a1e2c17f15ad82d806c92898e985693010b78481d49df0a4c6e2e0abacbcb734

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=sha256:243f464254dcf7d7f8333916b790fd81452fb026f5e26c7a9f5f448c2765e97e

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.

source=arxiv_source observed=2026-08-15T17:03:44.109541Z digest=sha256:0fad25d67ca78d029c0c395f1fad72ac2bd0fd70b2c6d86c69ee97f0d79c7187

Pith citing papers

No inbound Pith citation observations are available.