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Paper Citation Record · LEDGER

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2606.17591.

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

pith.paper-citation-record.v1
2606.17591 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:22:20.045120Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T19:01:21.650333Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:07:35.227188Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c30fde2-17fe-4a39-b0eb-9ed1eaecfca7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:0950a6659a949e2af324bd28584627c5f7591f78334393d3f35b28df7ef6baf1

Observation 49426a29-e7a0-4a66-ab66-8d7cc694728d · outbound

This paper cites an unresolved cited work.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:984328aa62d051853b174e22fc294b46aa4f4250e28abda04c48daeaea42cca2

Observation d24abb46-6294-45e9-98ff-d7508a3ed24f · outbound

This paper cites Training-free group relative policy optimization, October 2025.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Training-free group relative policy optimization, October 2025

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:28:55.344120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:e5860ee7973b22b568eb0ade15adecc25b93c3f624e741e90617b932bdc0b0ac

Observation aa02e7c2-e94c-413e-9f40-07651fecea5e · outbound

This paper cites Experiential Reflective Learning for Self-Improving.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Experiential Reflective Learning for Self-Improving

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:00041d2f02ef8408af48ec2832342cf5cdeb4eb16d021f528b55ac2d1f322106

Observation 6e4d5d12-5f59-486a-bbdb-46e7ba687256 · outbound

This paper cites arXiv preprint , year=.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning arXiv preprint , year=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:5692956061c6388dc78517b5868749182613b2288f216ddcd3c3070e8aa45f63

Observation 68453043-d017-41cb-af6c-18193b285159 · outbound

This paper cites an unresolved cited work.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:feb1d91c4edc9527a17cf23cd4c0e68da89e78fe6e0571c370f70d9bfb9b8e91

Observation 3961b362-13ba-4511-93c2-aa7af5e5a599 · outbound

This paper cites an unresolved cited work.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:c97c330968dca9bf55aa34093bd85beeca4cc151f27319e7115508a0a3b6bfb5

Observation 99ff4e09-7f5a-40fa-99fe-a99df6e28f98 · outbound

This paper cites Latimer, N.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Latimer, N

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:28:55.347182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:050b6bb72c3d6967fdc3a1bc7586ad46b9379ea656e19ee86f147756e374ab23

Observation 264035b4-9411-4f6c-88d4-dff2474a5a62 · outbound

This paper cites an unresolved cited work.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:1bc8b9ec29df80faa97ab7bdad2379820dfee0b4bf94743b1968f784513aa248

Observation a60a5f64-92a5-4c37-a258-22fd8f5ac069 · outbound

This paper cites Graph-Native Cognitive Memory for.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Graph-Native Cognitive Memory for

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:16d4cf677c47bf1eaedd61cb7c7f115965170eed1baba825ad3e52b0ab0f1c1e

Observation 2f072e9e-a14e-46a7-bea3-6f508471f3d7 · outbound

This paper cites Journal of Symbolic Logic , volume=.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Journal of Symbolic Logic , volume=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:527050983ff6f338d01870309c031db6be70506a0b52ba6c8ff8149df92a0d07

Observation 519aaba9-1393-4985-b6f5-f7d99bb3bfa3 · outbound

This paper cites , journal=.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning , journal=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:798a17f626a16d383371f7e65797a6cf1c0a3cc7ea201b7fde02371d47fb44af

Observation 02093d69-a519-445a-8b48-8ef9f16ebdb1 · outbound

This paper cites 1st ICLR Workshop on Time Series in the Age of Large Models , year=.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning 1st ICLR Workshop on Time Series in the Age of Large Models , year=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:717bd8b9024a9bfe8582f0737c6ae9f03bce5c91ba48c1f2cddcf56477669aaa

Observation 5f4563db-ff72-4531-b759-90e7ca482e38 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:28:55.341699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:830786a45c57e025e26b720660147ebf2f3519cd718e420cd55766065cf46ac2

Observation 83f2264b-6370-4fa2-b3d2-92368d4730f8 · outbound

This paper cites an unresolved cited work.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:8ac3c5f9b8998ac1d815b84c1242f61200b1fb3c719c8fc8bf7dc1327b260d83

Observation 9ebbede0-a63e-4295-8e0f-7e4675464dfe · outbound

This paper cites Memory in the Age of.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning Memory in the Age of

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T01:22:20.045120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:9513334c76cda062cdd17c637d237b0beac908e6e7ec616e615fc7270b7d5023

Pith citing papers

Observation 67cccba7-06fa-4e98-b4d4-493ec79de08c · inbound

The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents cites this paper.

The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:07:35.228968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-10T19:01:21.650333Z digest=sha256:861337385e38dd1108112736caf7bb6424c5c1bcc5f8708245058a7886e61fb0