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Paper Citation Record · LEDGER

System 2 Attention (is something you might need too)

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:25:06.534518Z

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
  • unresolved0
  • parse uncertain0
  • 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:a1d35aeb8420c31d0302cc55c334a5d7b02ee3717a679942c29dcdf57d677d20

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=sha256:40437b92d3cefdcc008b8831c8a0377c3a1350c1719e181117f8fec12acd853a

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=sha256:1f6ecc4535fd9832d94c3af1c979140a5eba541bc8aa5493d30f94d7659acfb0

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:f1f099e219792849998004391ed22cdf3ff30c1eb61585cbd8ad18e0aade1803

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=sha256:41ecd2a8b1c9f728fb2147f4daeccc6991cc7b2c2e67eb2b23d9ef3e6fd1212d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:28:26.391929Z digest=sha256:47444b0560713d68a4421ac843e613896d239f4ed6770de42378a35a60089b35

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T20:57:43.390761Z digest=sha256:f3ae02275321e4d27e5db448df47418c9d91319aecc7ac5df3b1d10d1d5dd1e9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T17:52:59.979543Z digest=sha256:1451b5c4a6df54a08f52eac231aabb23d4314a3a296d9241c70331e276e8a807

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T13:39:15.355054Z digest=sha256:12cd0a374f6e8ef7466929c2e600b2516cde2faf71df1f600edb7ba41c72fbfe