Paper Citation Record · LEDGER

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning

As of 6 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.01663.

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

pith.paper-citation-record.v1
2605.01663 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

19 of 19 outbound references displayed

verified exact3
verified fuzzy5
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06592195-f886-47aa-9f9d-aa729670e0ec · outbound

This paper cites Offline Reinforcement Learning with Universal Horizon Models.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Offline Reinforcement Learning with Universal Horizon Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.864147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 46f30a7e-6ae1-47f7-a45d-6df236bff319 · outbound

This paper cites Engel, Y ., Mannor, S., and Meir, R.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Engel, Y ., Mannor, S., and Meir, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:13:30.834562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0650a644-d299-4352-8cf1-3798e06b25ca · outbound

This paper cites doi: 10.1145/1102351.1102377.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning doi: 10.1145/1102351.1102377

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:11.406384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7fdfa13b-b218-4768-b952-242a14399073 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.861707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b817a577-db02-4820-96c6-d17b24ff56f8 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.856744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f8c24e63-fa9f-4c11-a987-a079e5d245f6 · outbound

This paper cites Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.859295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c699f7bc-d823-4e95-9f11-996bd42ae390 · outbound

This paper cites Kostrikov, I., Nair, A., and Levine, S.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Kostrikov, I., Nair, A., and Levine, S

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T08:13:30.836113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8870bb17-d89e-4d6d-8ab0-8a1db1903b7d · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:45:11.403899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 13f7a8d5-8de7-4e34-bf00-b48941cc9659 · outbound

This paper cites Nguimatsia Tiofack, F., Le Hellard, T., Schramm, F., Perrin- Gilbert, N., and Carpentier, J.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Nguimatsia Tiofack, F., Le Hellard, T., Schramm, F., Perrin- Gilbert, N., and Carpentier, J

Reference 9

Resolution: verified exact; doi, observed 2026-07-01T00:45:11.408358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b03f38db-1a2f-4d7e-a7f7-5f1aba189b51 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.854355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 87231a91-efab-4702-a5d1-c858239dfe4a · outbound

This paper cites Srikant, R.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Srikant, R

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:13:30.837883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33c5469a-74d7-454f-aa19-d8aca2b0eb94 · outbound

This paper cites Venkatraman, S., Khaitan, S., Akella, R.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Venkatraman, S., Khaitan, S., Akella, R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:13:30.828325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8f3af840-3e14-47c8-becb-804337b8e558 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Behavior Regularized Offline Reinforcement Learning

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:45:11.401553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 88b1737f-5b0a-4d65-a271-04ac47710991 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:13:30.829916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4b4afea7-4f81-4996-840a-89195b24e8a1 · outbound

This paper cites Elements of a σ-algebra are calledmeasurable setsorevents.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Elements of a σ-algebra are calledmeasurable setsorevents

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:13:30.826630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e3baff4b-e64d-40b7-979c-f517f2e85763 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:13:30.831451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7fd3493d-bf7a-4ee8-9230-dfe54b6f53d2 · outbound

This paper cites The Adroit tasks require learning complex skills such as spinning a pen, opening a door, relocating a ball, and using a hammer to hit a button.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning The Adroit tasks require learning complex skills such as spinning a pen, opening a door, relocating a ball, and using a hammer to hit a button

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:13:30.824737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b1235a75-fecf-4497-bbd5-b9d0121f89fa · outbound

This paper cites an unresolved cited work.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:13:30.822985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd8ec583-f733-49bc-b032-b0fd35405e7e · outbound

This paper cites an unresolved cited work.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:13:30.833038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.