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Paper Citation Record · LEDGER

System 2 Attention (is something you might need too)

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2311.11829.

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

pith.paper-citation-record.v1
2311.11829 v1

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 2026-08-13T06:32:02.005865+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:36:32.080781Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.830816Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5016e952-2f9c-4d0e-bbc2-ab98168d8d43 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications System 2 Attention (is something you might need too)

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:52:10.490130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:e336b02042969097cdbd340f6108a240c8b1fe949165d9fd52d245d9acee6631

Observation 7a5b669e-7d09-4269-82cd-cb1b31c2b6fa · inbound

Sycophancy in Large Language Models: Causes and Mitigations cites this paper.

Sycophancy in Large Language Models: Causes and Mitigations System 2 Attention (is something you might need too)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T14:36:32.080781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.080781Z digest=sha256:e7d7afae91a2210799056064fb464b93f0acf6c217f781b03342430ce0a29acb

Observation a499f983-7b9c-4992-baef-1cdff55a225e · inbound

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM cites this paper.

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM System 2 Attention (is something you might need too)

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T21:55:08.276654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:55:08.276654Z digest=sha256:329eb72382526107718a1f889af695651783ad34a9ba5dd15367e1df8857be1c

Observation 8e85315d-42f3-4657-9940-03f8e81d628d · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning System 2 Attention (is something you might need too)

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:55.172679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:55.172679Z digest=sha256:05e60c382385b315da6ea731b99905055d7f8e7db96779019944682b1fd6aca6

Observation 1cdc933b-f977-4ae7-8e8c-ba0c91571938 · inbound

Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.

Position: Theory of Mind Benchmarks are Broken for Large Language Models System 2 Attention (is something you might need too)

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-11T00:07:41.504405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:07:41.504405Z digest=sha256:597336787e48dbb8a183135f1339366d77c9a6649ecaecc35f975b03963ba1f4

Observation 442ceb4e-e8f9-456b-a0b0-9cd8c0261671 · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems System 2 Attention (is something you might need too)

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:52.391459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:52.391459Z digest=sha256:51cf073d5f6e214709a7f47afdc9386cbff8e0da3b141ceccffd1e4030d8dbe1

Observation d4e7598d-1ac8-44e4-8709-277143fb3a2a · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design System 2 Attention (is something you might need too)

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-10T20:26:29.464722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.464722Z digest=sha256:30e6698564faa7e317f371cff0302b0929d7e86e2261bb081f29d42c6abb4dc8

Observation b7151f06-4a35-470d-95bf-a263b660de2d · inbound

Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.

Generating Symbolic World Models via Test-time Scaling of Large Language Models System 2 Attention (is something you might need too)

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T21:45:45.466137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:45:45.466137Z digest=sha256:e706be31178670729184fc08bc7055000f2a6717e17c7fa4bf39ae0a51f1a654

Observation 782ebc1f-4eea-49bd-be2d-c78ac0caacd5 · inbound

Evaluating the Retrieval Robustness of Large Language Models cites this paper.

Evaluating the Retrieval Robustness of Large Language Models System 2 Attention (is something you might need too)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:06.534518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:25:06.534518Z digest=sha256:673a7ca6b00da17a6d9cca053044a30018cc0b684a945577758c224459cfff4b

Observation 82dd3643-1f48-4b2a-ba7e-749d8dbcaf03 · inbound

Reasoning in machine vision by learning fast and slow thinking cites this paper.

Reasoning in machine vision by learning fast and slow thinking System 2 Attention (is something you might need too)

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:16:19.114726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:16:19.114726Z digest=sha256:058c878184ae1b32a8a587c0a1f08dc4f1ae59f794526def89181ca7f2398f3e

Observation 2515062c-0ab8-4bf7-9165-f491cdcb86da · inbound

Leveraging Language Prior for Infrared Small Target Detection cites this paper.

Leveraging Language Prior for Infrared Small Target Detection System 2 Attention (is something you might need too)

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:28.454599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:28.454599Z digest=sha256:777be7e07d47dd00e7dfa5880375eac60ef8b832535406e70e681df941e6078e

Observation 36a9f610-566c-4575-a3bb-613272bbe6b9 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model System 2 Attention (is something you might need too)

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.317014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.317014Z digest=sha256:8da171afc73aa5c30476fb3af2bd7f72d04e91bc104d138052415ab952180bd7

Observation c82567c7-248c-4a56-b836-62af739aef95 · inbound

Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench cites this paper.

Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench System 2 Attention (is something you might need too)

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:30:18.543214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T11:28:26.391929Z digest=sha256:fd4a7a7a19568c2618b9bffdb3da41b20e62c054c899fdf6b38288e278836c4b

Observation ac92ce52-19a4-4d8d-8bc9-b2fd29ee4063 · inbound

Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI cites this paper.

Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI System 2 Attention (is something you might need too)

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:05:04.716652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T20:57:43.390761Z digest=sha256:d04f677fd6cc1131c80983280cf8212926c75fc468dfb7935c17b9138696317b

Observation b93748cc-77c6-410b-a629-e565f1ebba3a · inbound

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks cites this paper.

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks System 2 Attention (is something you might need too)

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T18:02:27.328653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T17:52:59.979543Z digest=sha256:081146554b415045b2d899b1b27d528185944312b37c5bf9d949104311ce0426

Observation 6f27bd13-c9b8-4586-a398-53eae7f0d3ca · inbound

Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models cites this paper.

Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models System 2 Attention (is something you might need too)

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T13:47:05.832054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-10T13:39:15.355054Z digest=sha256:70e6043d0c136e7e13ed8611e5ea8b2059c52af9ef4ce39acb6ca9fe304db22f

Observation 8cf01944-29a6-4a71-9e5d-aa186f8c4152 · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling System 2 Attention (is something you might need too)

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-12T14:10:45.550249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:10:45.550249Z digest=sha256:88ef9be3da7e94b75445131e85606d7a5285f3fe828323f43fe63360001d48b7