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Paper Citation Record · LEDGER

Reinforcement Learning for Neural Model Editing

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.13461.

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

pith.paper-citation-record.v1
2606.13461 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:39:39.134822Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb2d7a74-f383-4f7a-beaf-0c03cede1d2c · outbound

This paper cites InProceed- ings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, pages 67–73.

Reinforcement Learning for Neural Model Editing InProceed- ings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, pages 67–73

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:79f5aaa1b3413d7b3bd8256d3ff1433579ce76437593b539236e0c5a1f6bf958

Observation 37dc8b9e-14c9-4c89-8876-6ebe3224983c · outbound

This paper cites InFindings of the Association for Computational Linguistics: ACL 2024, pages 5907–5913.

Reinforcement Learning for Neural Model Editing InFindings of the Association for Computational Linguistics: ACL 2024, pages 5907–5913

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:1312a0dad9e983ff9119f0e712a3fed6bba23f66865d5b5d1a31c5c6eeecd7d8

Observation 12bd7ebc-cdfc-4743-8efb-8b20d2b565da · outbound

This paper cites InPro- ceedings of the 2024 Conference on Empirical Meth- ods in Natural Language Processing, pages 16801– 16819.

Reinforcement Learning for Neural Model Editing InPro- ceedings of the 2024 Conference on Empirical Meth- ods in Natural Language Processing, pages 16801– 16819

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:7c0d5b026bf24eef10b00cbc64a6ac5ae9c786c6fd072a409767635e624da177

Observation 54754702-89d1-412a-b39d-e7d38fc457df · outbound

This paper cites InPro- ceedings of the 2025 Conference on Empirical Meth- ods in Natural Language Processing, pages 18997– 19017.

Reinforcement Learning for Neural Model Editing InPro- ceedings of the 2025 Conference on Empirical Meth- ods in Natural Language Processing, pages 18997– 19017

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:dfa092ea476805d4181970703d697ddba3d99683313de11cd51bda8a96fe1ca8

Observation fa8a8303-bad1-4e21-9939-5b2bd2144892 · outbound

This paper cites HyperNetworks.

Reinforcement Learning for Neural Model Editing HyperNetworks

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.624272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:ce2002f376a01db545c11cb3245159aa119e3f1fa69dbc36ba76ec9829e78719

Observation 7396bb03-9d40-4dd9-bd66-e1f412685eb7 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Reinforcement Learning for Neural Model Editing Adam: A Method for Stochastic Optimization

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:38:19.619598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:0c18df1ec1ec81f5fa3b2640f30851bcdf5cafc1aaf3727b143243aa0afe7a5c

Observation 7880a698-dbc6-4439-9b02-206b0f2ab677 · outbound

This paper cites Learning to Optimize.

Reinforcement Learning for Neural Model Editing Learning to Optimize

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.613819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:4d448dbfa7d177a82407c405c9f89dc5090f8d15ac21ccc934c567599f6bc260

Observation 527f9409-acdf-4f3d-8f1a-ebfcd83eefda · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reinforcement Learning for Neural Model Editing Proximal Policy Optimization Algorithms

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.616265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:7eed8f6ba1269a364af4e30ae77309f338881d7ad694c31810b7ddb22cf9e0cd

Observation 11dff51d-ecb1-4e12-b557-eb282d694631 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Reinforcement Learning for Neural Model Editing Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.621787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:72f744b95ec13447229f972c236596318035048b6951a15ef6c0a82b9e8c3229

Observation b364bdf5-75d0-43aa-bfe6-c4f0a3008bf8 · outbound

This paper cites Editable Neural Networks.

Reinforcement Learning for Neural Model Editing Editable Neural Networks

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:38:19.611486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:aeebde36317d1230074218e3d00e0521b408c21124291da503a797c3a2d6a16b

Observation c3544ffd-e7e6-4d02-9eb2-6864b1b980c4 · outbound

This paper cites InInternational Conference on Learning Representations, volume 2025, pages 61897–61931.

Reinforcement Learning for Neural Model Editing InInternational Conference on Learning Representations, volume 2025, pages 61897–61931

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:2df0b036ad6a5cb58b26b77cd584e2aefd48857a9c0d7ac9e7e8471283a51eaf

Observation d6737022-8fab-4f6a-862c-d185b4bf5f51 · outbound

This paper cites More recently, Chen et al.

Reinforcement Learning for Neural Model Editing More recently, Chen et al

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:a9baf23e9d3b2865c177844b86cfbba0ee3abff5dd66114739d1c09358bccdf7

Observation 73664db8-0ef3-45c5-949e-9b9abcf9f0f1 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Neural Model Editing Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T07:39:39.134822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:39:39.134822Z digest=sha256:4125c440d52eb5f8b6c97ea2de53fb9bbe297f600f4841e32b12ea8c477c060d

Pith citing papers

No inbound Pith citation observations are available.