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Paper Citation Record · LEDGER

GenPlan: Generative Sequence Models as Adaptive Planners

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.08565.

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

pith.paper-citation-record.v1
2412.08565 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:51:01.284638Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cddaacd-779c-4905-8edf-5d6a90f0d760 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

GenPlan: Generative Sequence Models as Adaptive Planners , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.105277Z digest=sha256:5e847850d007da13164a8c3ce1adbcf92b9f01759957dd5255c6d046dac310bc

Observation 984e48e5-e91e-4e31-a13a-d225adf08445 · outbound

This paper cites write newline.

GenPlan: Generative Sequence Models as Adaptive Planners write newline

Reference 2

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source=arxiv_source observed=2026-08-11T17:51:01.111316Z digest=sha256:de6b2f0e105b46a589a72025dd9fdbb284fd87aede8ccd2c13d17e58de377abc

Observation d9423a47-8dad-4945-87ed-21d0fc78fd6a · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.117675Z digest=sha256:e700306595b55e6f594a48115c37f3531204363fcbd9aafe0f6f165317f0326e

Observation 030912b2-97ef-4b1a-8afe-b47c236c8ec8 · outbound

This paper cites Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.

GenPlan: Generative Sequence Models as Adaptive Planners Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 4

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source=arxiv_source observed=2026-08-11T17:51:01.125389Z digest=sha256:be5f4620aa382541b80f34a8d8e6453fe7cfcc338c46beaa00332226e5904686

Observation c09106f6-fdfe-4ae6-83f7-0b137e41d94b · outbound

This paper cites B.; and Vela, P.

GenPlan: Generative Sequence Models as Adaptive Planners B.; and Vela, P

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T17:51:01.817821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.131335Z digest=sha256:8664dd2af2973ca723437752b2e4c7ae7b5b7231c1235c53f5d297ec6cfabee2

Observation 59ba18a2-8b6d-48bd-a208-e809a2962796 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.136641Z digest=sha256:c1ea8cce7559d22bbc41f8d8c3790750f1f8428c9ffe2228fe216da2a2d59979

Observation 5864aba3-2e64-470d-b065-7aa2c6ac02f3 · outbound

This paper cites H.; and Bengio, Y.

GenPlan: Generative Sequence Models as Adaptive Planners H.; and Bengio, Y

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.141926Z digest=sha256:b15d524e5755cb8087fa3ab97a1a073e8747b196d0e94ecc0164211650d9ffe8

Observation 335bddcd-16c8-4adb-aa25-3dd1eea70858 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

GenPlan: Generative Sequence Models as Adaptive Planners Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.146929Z digest=sha256:98893c26688af8da6bc74a9a87f26271f4a5e81c303fc04872d59b8883adf856

Observation 313833ea-707b-46f7-8395-3935da4aefac · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

GenPlan: Generative Sequence Models as Adaptive Planners BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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source=arxiv_source observed=2026-08-11T17:51:01.152902Z digest=sha256:a51cda95047b5bda4353526eceeb2fcba7bea570b82bc13234e8a5f3b3c6dea4

Observation 60191ffa-75ce-4cf9-ae2b-e11319fbfa75 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.157867Z digest=sha256:5ff76ac01e391d94ede82fb988bfae098dfc3f8fdbfe11538ccb1dac9963f649

Observation d759b893-d01a-4ad0-bbcf-d9e136c48534 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c27cb086-97ec-4c46-938a-56b9e3548657 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6a7c0059-a4d2-48df-ae67-21c73453a45e · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.173962Z digest=sha256:a37716bab74142fd7ff222e2cbed766cbb57b82cc9e83a2a8d38cb2a761042ba

Observation cb819eda-54b3-42ee-8521-12ea4848d58c · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 14

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T17:51:01.179272Z digest=sha256:5b3282035093b55fe5fb96285ba4cbf785322b027f592ef3fa31471efdb20a61

Observation ac9b9cec-f2f6-4f4a-87ac-538c553396b1 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T17:51:01.184099Z digest=sha256:0c399fe18e93c2efc7248f88dc3f441d1790acad5b27fd0e5baa302eb393f732

Observation 59ad7f52-848d-400c-87bc-a75173319e6d · outbound

This paper cites Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings.

GenPlan: Generative Sequence Models as Adaptive Planners Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings

Reference 16

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no resolver link, observed 2026-08-11T17:51:01.189310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.189310Z digest=sha256:e662b0a192aba6a4defb545245a18fb554f5ef87675a068966c5ec984c84ffb7

Observation 5420df7a-9483-4c9b-85bf-775f86375ff4 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

GenPlan: Generative Sequence Models as Adaptive Planners Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 17

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no resolver link, observed 2026-08-11T17:51:01.195551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.195551Z digest=sha256:b7db61b35fe43c0f117235886f40f4fc7acfa299a9ac75d0de244b72bad07d4c

Observation 20f7e92c-744a-41dc-ad7b-e5d5e28a1895 · outbound

This paper cites Reinforcement Learning with Deep Energy-Based Policies.

GenPlan: Generative Sequence Models as Adaptive Planners Reinforcement Learning with Deep Energy-Based Policies

Reference 18

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no resolver link, observed 2026-08-11T17:51:01.200728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.200728Z digest=sha256:d1154ca38f2e88d4a347b046c97fb573a6b30cebb6e245dbe8f8e08cf382b3d9

Observation c94faeb0-bdf0-48b7-bfcc-b05ec0dc0e19 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

GenPlan: Generative Sequence Models as Adaptive Planners Denoising Diffusion Probabilistic Models

Reference 19

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source=arxiv_source observed=2026-08-11T17:51:01.207301Z digest=sha256:87509091c7adcc747ed6b5190a36b379c2c3f90d42b11de5954f4f37e18042eb

Observation 84b01d54-6785-4e8f-a983-9791c2b3b2d9 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

GenPlan: Generative Sequence Models as Adaptive Planners Planning with Diffusion for Flexible Behavior Synthesis

Reference 20

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no resolver link, observed 2026-08-11T17:51:01.214329Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.214329Z digest=sha256:359d6e885113ccd5ebf1750a2b6ed308f9f8d133bc8f170a48ac23655586e3b5

Observation df8c7c42-968e-4e02-97ef-555344d3859d · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 00097875-f3b3-4a9b-85ae-96597a627ad1 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

GenPlan: Generative Sequence Models as Adaptive Planners Offline Reinforcement Learning with Implicit Q-Learning

Reference 22

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Observation 5e064230-2c65-44ed-93e4-2c105f375e70 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e8d5b20-5332-441f-ae3d-5214a563ee5f · outbound

This paper cites Investigating Compounding Prediction Errors in Learned Dynamics Models.

GenPlan: Generative Sequence Models as Adaptive Planners Investigating Compounding Prediction Errors in Learned Dynamics Models

Reference 24

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source=arxiv_source observed=2026-08-11T17:51:01.236890Z digest=sha256:061bbe78f1e8573960f8ffa546a1cf200e76536d2cf7f90824e39b9daa6f830c

Observation 0fba7ff2-aa82-4f8b-9a00-91d5c707ca0c · outbound

This paper cites Behavior Generation with Latent Actions.

GenPlan: Generative Sequence Models as Adaptive Planners Behavior Generation with Latent Actions

Reference 25

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source=arxiv_source observed=2026-08-11T17:51:01.242418Z digest=sha256:d43c0c9aa22def1bce8f001836120909b6ede76a6bcb5f20a129000d5330e842

Observation 7318cd86-8702-4fe8-8d3f-c64c0c17e69a · outbound

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

GenPlan: Generative Sequence Models as Adaptive Planners Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 26

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no resolver link, observed 2026-08-11T17:51:01.247534Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.247534Z digest=sha256:be8e407387d810e2ea938938dfb36f5b7caa7f23def1de93c36d11fb2e6cab7b

Observation 8348593a-04b3-42b6-9d2e-cf91a489c6b1 · outbound

This paper cites Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks.

GenPlan: Generative Sequence Models as Adaptive Planners Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks

Reference 27

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no resolver link, observed 2026-08-11T17:51:01.252978Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.252978Z digest=sha256:54c9ad532dc58bc563e4c69c7b576f6133879e6d3cc300f7dfcd402bc22ed49b

Observation 5d939f4a-dd7b-4f27-b190-5be118226f89 · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-11T17:51:01.636393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 697d7ca2-eb1d-4c4d-a695-be48221c09c2 · outbound

This paper cites Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions.

GenPlan: Generative Sequence Models as Adaptive Planners Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Reference 29

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Observation dfb71f17-22cb-491d-86e9-82424a35efab · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation be3b6b6f-218d-413d-aa5d-1bcbb7db222a · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 501acdbe-9c6e-4593-830b-559ad8c36396 · outbound

This paper cites MOPO: Model-based Offline Policy Optimization.

GenPlan: Generative Sequence Models as Adaptive Planners MOPO: Model-based Offline Policy Optimization

Reference 32

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source=arxiv_source observed=2026-08-11T17:51:01.279515Z digest=sha256:6a3d107c5537dad3c9705ae348607b2b3bca76b790219fd836f6d55cd510a473

Observation f5b2742c-452f-47fd-ba74-759bbb6244ed · outbound

This paper cites an unresolved cited work.

GenPlan: Generative Sequence Models as Adaptive Planners Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.