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Paper Citation Record · LEDGER

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.14045.

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

pith.paper-citation-record.v1
2305.14045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:19:27.166399Z

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

4
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 4cb269ae-5665-4634-8d5f-f10d082dff19 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.353888Z

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=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:1f18fb2d57fd8cb141787594024d83cd2d7de80d64637362e1ee69fd074188d1

Observation 43023fa7-bcb9-42e3-8aa6-689400914efd · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.585198Z

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=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:e2af4c31a0aad5619519cc8f9e040b4cce96539c964282a006abc11f6b3b8ced

Observation 1b9e3a6a-b9fb-4a75-8f2c-162baf55fe80 · inbound

FD-LLM: Large Language Model for Fault Diagnosis of Machines cites this paper.

FD-LLM: Large Language Model for Fault Diagnosis of Machines The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T04:37:42.605152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:37:42.605152Z digest=sha256:d743f98a91b9bc06ddb72ef62ac02b839e9d9244959105a37f0d0a19b6c2f4e5

Observation a1fb6030-8428-470b-8f18-2fa3c53d3c28 · inbound

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data cites this paper.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T15:47:29.423340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:47:29.423340Z digest=sha256:84aa305d265ad08a93e818616fdf391941571a1ae671a0935c2817e20b1fbae5

Observation 6d6738cd-ca8b-403e-9842-e9e8cf350082 · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:37.800924Z

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=pdf_text observed=2026-05-23T06:00:56.578343Z digest=sha256:ac54356818aafba93d53a7e65853d9fe82520c087f3b085fe4a66fff54acbfe7

Observation 6cca35c4-060e-4932-a5e8-3a0e5209f7cd · inbound

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning cites this paper.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.870675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.870675Z digest=sha256:6c16f7305803f88029d80f6237722dbba7cf5e5d186c04c1ed7d98655c54b803

Observation 59002708-9812-4eab-84d0-e4f1ad5c7d74 · inbound

Injecting Knowledge Graphs into Large Language Models cites this paper.

Injecting Knowledge Graphs into Large Language Models The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:19:27.166399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:19:27.166399Z digest=sha256:bd967aaa3091047ad714d340f6d939d6b5f061dfbe43853f0a8082e0ddb343d5

Observation 7bcaf26b-bdac-486f-a506-64f00da1daaa · inbound

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching cites this paper.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:50.545408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:50.545408Z digest=sha256:e4902bd1969f1bde4c8e16b1fb5fdcc5123e96ec9a77f9234166e8e565ff0b45

Observation 23d2646a-217e-416e-ae61-bd547cfa140c · inbound

Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs cites this paper.

Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:28.692853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:28.692853Z digest=sha256:9aa5097897453507fe02f9cd78465b5cb749a383457dfe325f9b494317fc75ee

Observation acb2e506-e131-447f-94ed-88dc8803f8c3 · inbound

ChatModel: Automating Reference Model Design and Verification with LLMs cites this paper.

ChatModel: Automating Reference Model Design and Verification with LLMs The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:43.140306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:43.140306Z digest=sha256:6c219f98bc2bb5d2a18b4747503b4cf6a13618343ff450a4f84fa218b43ae871

Observation 271f1dc7-ed58-40f1-ab73-30cc6d3171f5 · inbound

One Token to Fool LLM-as-a-Judge cites this paper.

One Token to Fool LLM-as-a-Judge The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:15:37.426858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:15:37.426858Z digest=sha256:63f4dac44dd7dca7d395e1cf19ed7d99d966860a26dc2e2e8068614cbfdc4a09

Observation a7236b47-a1d3-460d-8c57-eabcea247270 · inbound

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models cites this paper.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T17:30:10.119254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:30:10.119254Z digest=sha256:56d141d0e52c17816b3cebcbe0a5de0b92e6a276a04a3accfe12dc57fe941f82

Observation 8c4724f4-3333-4399-b6d4-ab39314c09ba · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:27.749346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:27.749346Z digest=sha256:8ed493bf6d93151a6bc360e995731026155eaf8f167c55958d78e2a0ff4ac6f2

Observation 79e7630e-34d2-44af-8cc6-11f0639764cd · inbound

The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge cites this paper.

The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T17:11:16.234451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:11:16.234451Z digest=sha256:99cd853c2f9a8f6033bd1a55a89abc378527daaf8c37f29b987d6eefab18748f

Observation 709f6c24-5819-4d92-94e2-88bddfef57af · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.392542Z

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=2026-05-09T23:51:47.724033Z digest=sha256:811f704e09f5a7d865760675c4453be5540c6529a735c076ed9645b0984abd00

Observation 663598fe-8c50-4fc6-a4b6-ed18abc771ae · inbound

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse cites this paper.

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:31.106961Z

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=2026-05-07T16:39:47.998726Z digest=sha256:4e407d1fa8f031ffb4f1c5c5519753956574bd4905dcadeb77ee13a01ed08bd8

Observation ac12faa2-87ff-4a43-9987-4823ff706783 · inbound

MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution cites this paper.

MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:42:49.713185Z

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=2026-06-28T23:36:38.989358Z digest=sha256:dcb7b104381e3684550ed8565b2277007b48d28bcf1311dceac3bb128c1e316c