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Paper Citation Record · LEDGER

Introspection of Thought Helps AI Agents

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2507.08664.

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

pith.paper-citation-record.v1
2507.08664 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:19:58.908879Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:34.560606Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:51:54.087208Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e0f30d5-9913-4e6b-860d-b03a0a642247 · outbound

This paper cites Claude-3.2-sonnet.

Introspection of Thought Helps AI Agents Claude-3.2-sonnet

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.377818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.670349Z digest=sha256:8ba5f84d9bcdc5cdf3a67938e1d5752f3ff16c2394ad48637fd1d228a3662f80

Observation 698063ae-134f-412f-b74a-e196e4de614a · outbound

This paper cites Program Synthesis with Large Language Models.

Introspection of Thought Helps AI Agents Program Synthesis with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.675040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.675040Z digest=sha256:a4d8b23a758eae944a2c56251c5cd9ae3f67f48cd2055e82297df12844b09a11

Observation cec1975f-fbfe-4844-a4d1-fdf4ade4b209 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Introspection of Thought Helps AI Agents Evaluating Large Language Models Trained on Code

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.679802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.679802Z digest=sha256:815a711086b29f0219760bdca5611a980ecfe304415d0432b040ca37580300a7

Observation aa8a7bc5-c5de-45a3-a6f3-91007411ceb0 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Introspection of Thought Helps AI Agents Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.685977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.685977Z digest=sha256:1c9b05db5e3726b9df61b16511210b242b09089033b07a11560ed8e6395647d2

Observation 82d52864-f8ef-46db-b339-205271a3abe7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Introspection of Thought Helps AI Agents Training Verifiers to Solve Math Word Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.693053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.693053Z digest=sha256:45942c94d4123179e32260c6dc58932aa21861e88b6e5db35f284fbac2e6ec28

Observation 1b1388ac-7e23-4a34-a019-d181739784be · outbound

This paper cites DeepSeek-V2.5.

Introspection of Thought Helps AI Agents DeepSeek-V2.5

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.369296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.697841Z digest=sha256:4ba4d1852d911abf5815e2e0e948cae25a7ea1f7256be12434962a02a84d80d3

Observation ce47ac97-5e88-4a86-80b0-c0ed7c661e6f · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.701868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.701868Z digest=sha256:d881c35c2c30ef10a55744630e87fbb6dac4135b2e2b1819fcde95bc8a63c90b

Observation 235015e2-b448-479b-8598-ac8ca2b995d4 · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.354771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.707083Z digest=sha256:83286ec5c1295d7be8202b0570034750eb62cf55c488e73182b40cf7c7e614b4

Observation e8736cf1-b39b-4a94-8c19-b8f63e859f0d · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.342367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.714374Z digest=sha256:904ddaba1497022e6e6a0f4be999aaef77f3ead0a8c94911a0bb8deb55b6f311

Observation f5087074-ebda-48b4-acbd-8371d73af52b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Introspection of Thought Helps AI Agents Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.728272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.728272Z digest=sha256:28a3c817d81c37039c5b1680daa42acb96dfe70583ecfda65b1142c671c1add5

Observation 212a1fe2-1b3e-4288-a975-dabe5b38f281 · outbound

This paper cites Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild.

Introspection of Thought Helps AI Agents Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.735013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.735013Z digest=sha256:95ee6edbc9f096a601d8ba12d877a7aa00b733b99101c7aa023f79b8675d787c

Observation fea23766-f7a6-492f-8385-34e8e9e79e0a · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Introspection of Thought Helps AI Agents Understanding the planning of LLM agents: A survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.738469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.738469Z digest=sha256:13890b040756fcfe540dfba6ddc6f9f8017f4b21b2d860db7f9547c62fb0a437

Observation 67234967-36d7-4fbc-bd3d-d6211e1ceea2 · outbound

This paper cites Latif and X.

Introspection of Thought Helps AI Agents Latif and X

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.331515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.747109Z digest=sha256:5c7607f8eed0fce5789557c9ad432c969ebda8cbb2c43b3adc2df917e1d5a397

Observation f0b7ce09-4331-4eef-a0c1-1f274fff60a8 · outbound

This paper cites Visual Instruction Tuning.

Introspection of Thought Helps AI Agents Visual Instruction Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.751860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.751860Z digest=sha256:3c17d9bf37fd1b5c729897f8f58794710045cd7a4a1e00e8ce09e384590b9c8a

Observation f93229c6-7b0a-45fd-b285-6bc2d169adac · outbound

This paper cites LogiCoT: Logical Chain-of-Thought Instruction-Tuning.

Introspection of Thought Helps AI Agents LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:19:59.148041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.755839Z digest=sha256:f0dd00a1dbb2cdd79fafdd57fb6f544e533f65635d2941077cbc3401788d08ab

Observation 9e6d85ad-6fe8-4b91-86bb-01ea673e7011 · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.323052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.759608Z digest=sha256:80f236f16ac9402fc7815f0e4e35d2f66e7472bf2cafaff847baac50b032df00

Observation 65a1617e-b793-4644-91fd-baed4f124149 · outbound

This paper cites AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.

Introspection of Thought Helps AI Agents AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.762087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.762087Z digest=sha256:2d90ad005b34df7b197128ca2993833fd04d9f964539422621aa1da2c8886136

Observation a73b68d0-37f2-4217-9a9e-171f336ba5cb · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Introspection of Thought Helps AI Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.766877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.766877Z digest=sha256:517242cf19462a7031756bb1e6b48f7ecc9405b65af2b388029d518bf0419793

Observation bdd28ae2-2f26-4b5a-9eb2-95c4182cbd7d · outbound

This paper cites Llama3.2.

Introspection of Thought Helps AI Agents Llama3.2

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.311648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.769867Z digest=sha256:338d19ac6edc57233221f142f437b8f9a4ada5674e9d716b8df2d4a2255e5c5c

Observation 74435aa1-4c2a-4774-b046-c5c8702b9b23 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

Introspection of Thought Helps AI Agents Large Language Model Guided Tree-of-Thought

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.774270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.774270Z digest=sha256:1bd6982670c7f605af962881bbe17b1f2437f955bf26510858c263065f4af1e1

Observation d47f9e15-4e3c-420a-ae76-8ba2854d2bac · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.813303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.813303Z digest=sha256:34eb15e787ce1f1104200ce9523680dfe4e7a411b305390a8fc82a539a7e1acc

Observation 740ae34f-bb6e-477f-819b-b77e7f1cd624 · outbound

This paper cites Marvin, N.

Introspection of Thought Helps AI Agents Marvin, N

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.296893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.827773Z digest=sha256:e69666b5b06561af31b0e63074aec7ee14974ca43d77fa81579255c7bdce3b82

Observation a2cd77cf-1cd7-4038-aa6e-543929a3c8b5 · outbound

This paper cites Qwen2.5-coder.

Introspection of Thought Helps AI Agents Qwen2.5-coder

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.275423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.830620Z digest=sha256:d5aae6becff5ae77db616d26b7a802096d424d11e693a4261659320fbe637ef7

Observation bf7e150e-864b-4fa9-b5f8-b0c7e618873c · outbound

This paper cites Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.

Introspection of Thought Helps AI Agents Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.837160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.837160Z digest=sha256:dc4316196fb44de49e694ed2f308e31fe58fd3e9d50692246f0f2bfee2185344

Observation 7da8a972-c4d3-48d3-81f9-ac824f969fec · outbound

This paper cites Rajpurkar, J.

Introspection of Thought Helps AI Agents Rajpurkar, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.264125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.840312Z digest=sha256:3a07cf8921b4ea965b1919804c81c41a5aba598421946040e9e1cd09dfaadf2f

Observation c71e246f-72f5-4b26-aff2-f7b8db89231f · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.254369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.843787Z digest=sha256:060d6059c55cda9c3b4065e4056fbacf201dc6e63aaabbc0b4d9b5b1b77b8dd8

Observation 9efb41a1-daf0-4375-8c44-92d7f0d70637 · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

Introspection of Thought Helps AI Agents Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.846571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.846571Z digest=sha256:40c8d0ae555f020d675dc163a6d7db890cf32d0c94f48f1a6fb1ab773f600905

Observation 8dbabe53-2d96-4c7f-b6f8-702ad50c52a4 · outbound

This paper cites Sahoo, A.

Introspection of Thought Helps AI Agents Sahoo, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.245322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.851969Z digest=sha256:51be8ca0019076ce8954db37142ec46f5129392eb65ba491a82bd7f4aa8acc77

Observation a2e3665c-0c78-43da-9316-e6f3c77c9028 · outbound

This paper cites ProgCo: Program Helps Self-Correction of Large Language Models.

Introspection of Thought Helps AI Agents ProgCo: Program Helps Self-Correction of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.854627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.854627Z digest=sha256:802f764fc0bda716f4cbc0d7c1e80c226c9c09f1262e3af800a9f418e8065c16

Observation 861d5820-6957-4831-abd2-d313e9c408f3 · outbound

This paper cites SCOTT: Self-Consistent Chain-of-Thought Distillation.

Introspection of Thought Helps AI Agents SCOTT: Self-Consistent Chain-of-Thought Distillation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.857674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.857674Z digest=sha256:e970350b93d6364f118aa38942fff7ef391959d62aae73e007bf25beada93e92

Observation 82647423-cab3-4e31-a81d-d22b309f328d · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.234004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.860268Z digest=sha256:a0703896751c7be9120668e6f0e472940502d2eaf1bcaa456e3aa8e4e5eb2849

Observation 1d9b1ff1-3b1b-483a-97db-8467bde5a5e7 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Introspection of Thought Helps AI Agents HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.871081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.871081Z digest=sha256:fa9657a5a8087e2e06365d437d55ccc8c74b09642033ecd9160cad527acc4035

Observation 97b4b0ea-0a2e-4f8d-8a7e-9ee93bde91bc · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.224450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.879010Z digest=sha256:fbb09c8bc4096b5c1ad4565c80edcd201a833506bf3c1dc2414ac46f696bb345

Observation d9348ba8-f630-47c0-9e78-7698ef87de5b · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Introspection of Thought Helps AI Agents AFlow: Automating Agentic Workflow Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.882367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.882367Z digest=sha256:b6c335a27b6ead85b32d8069b8b791662332d0608016aa13e36c215bc777f3a7

Observation 5524e683-4aa7-4b6f-83ea-c03ea3984f26 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Introspection of Thought Helps AI Agents LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.886114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.886114Z digest=sha256:0be5d1c37f7e37529a6ad882abaadc71bdc0ac96c55d00a1c8678062b819c320

Observation 8c8a3027-fe41-4a9e-93a3-893590608b0a · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Introspection of Thought Helps AI Agents Multimodal Chain-of-Thought Reasoning in Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.893076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.893076Z digest=sha256:ff394bdc62c0cc30897649a519ebb4a7df13955e4655c9ba3ba539879410ad78

Observation 479643d0-b1d8-4d5c-9922-2bab8aad5361 · outbound

This paper cites Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models.

Introspection of Thought Helps AI Agents Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.899493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.899493Z digest=sha256:7e6cee25dabba9ae5d150201b31b2af885f9aaaaec46354eeb62c80573ce564e

Observation edd0fbe2-8f02-4376-8d73-19cef55b85b8 · outbound

This paper cites Agents: An Open-source Framework for Autonomous Language Agents.

Introspection of Thought Helps AI Agents Agents: An Open-source Framework for Autonomous Language Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.908879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.908879Z digest=sha256:d2e1ed4569af7f355b512561a7f6874f255cfffe88041387d1b5e275a56e2ece

Observation 634df6cf-f27a-4cf2-840c-85108ea846d1 · outbound

This paper cites URL https://www.kaggle.

Introspection of Thought Helps AI Agents URL https://www.kaggle

Reference 2024

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 045e0286-d198-4646-8ffc-1ab07ecf39d9 · inbound

A Novel Self-Evolution Framework for Large Language Models cites this paper.

A Novel Self-Evolution Framework for Large Language Models Introspection of Thought Helps AI Agents

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:40:34.560606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f33b3faf-0178-4336-88d6-54b15dfb402f · inbound

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models cites this paper.

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models Introspection of Thought Helps AI Agents

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:51:54.094232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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