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Paper Citation Record · LEDGER

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2502.13581.

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

pith.paper-citation-record.v1
2502.13581 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:39.264592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:06:30.245806Z

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 85a42830-1196-4174-80d2-9e5f9342d1e9 · inbound

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation cites this paper.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:39.264592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:39.264592Z digest=sha256:ac0ef414bd3cbae367a0c191ddadfb4c579755843add6f352bf6a5df3ca2e042

Observation 91eac18c-6223-4025-b4de-3d4bf4612bb8 · inbound

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation cites this paper.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:40:48.618331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:40:48.618331Z digest=sha256:1e87c11b1d7d51b7d154181ab6114bc464020c6a07c43795facb8116366333cd

Observation fc03bbde-d752-4e7d-a899-bbd8a9451510 · inbound

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization cites this paper.

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:20.784228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:20.784228Z digest=sha256:5079d52101d8ca256b29c2a1d0166e6d004e65bafa4ebb3db85349c590d93990

Observation acd86507-3359-4240-8d11-f0e158779aad · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:38.783564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.783564Z digest=sha256:fb7e99971913139e4b04fdd564a4472e0a8479e573ce91f28d9eacbe7bbaa135

Observation d85559a4-64e1-4fc0-ba4a-20e06a0e1918 · inbound

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation cites this paper.

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T04:15:15.887422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:15:15.887422Z digest=sha256:a4b68aa615878ba5c3528214df6c9f3be558ed8f76b9d46f7bf3c2d54529d770

Observation dc221fd8-0b24-474b-8b98-7d03809109ce · inbound

Unleash the Potential of Long Semantic IDs for Generative Recommendation cites this paper.

Unleash the Potential of Long Semantic IDs for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T06:06:57.778685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:06:57.778685Z digest=sha256:e3368d0a35bd7a3cfb297b27b7fbb2e92e85ea48507b7066da88cc9858bd2e5d

Observation c8210216-5451-417c-99fb-bba5f3f41820 · inbound

Multi-LLM Token Filtering and Routing for Sequential Recommendation cites this paper.

Multi-LLM Token Filtering and Routing for Sequential Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.814286Z

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=2026-05-10T04:05:18.323554Z digest=sha256:a48c7493b6d4ec5e59766a84f71fa8e07e6b5802834f80591e7f2dd5af9672c0

Observation f9af480d-8064-4dca-af9f-020a70c5992c · inbound

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation cites this paper.

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:30.248571Z

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=2026-05-07T07:42:36.852261Z digest=sha256:1118cbdf779da2fa3db7e349f774ed8022fa9ea809ee07cfd39caaaa44a5e4d8

Observation 4e2db103-7066-4edc-84dc-79b7cf3022a8 · inbound

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation cites this paper.

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:26:12.848224Z

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=2026-05-08T15:54:53.821143Z digest=sha256:c0b2fe40260836c310dbdad2651c8015ddae15ba7cb43ec300a70c8d8e13f7c6

Observation 1e0ead72-0f28-4504-9247-6c8627ec1d33 · inbound

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation cites this paper.

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:56.797346Z

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=2026-05-11T01:02:46.958164Z digest=sha256:ad36e727b874fb4d6c2d40d8ec9c58924862f3bc027fc91b99b383efa74629fb

Observation f0d6a007-7ceb-465b-b890-b53066d24f36 · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:57.512608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.512608Z digest=sha256:b7a9f177eed3ad4b7e7b81b281153cfafa1b5280ee267d610d453159026c8056

Observation 2bc7f883-12c8-4984-9b38-fb394daab8e4 · inbound

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation cites this paper.

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T08:44:48.476607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:44:48.476607Z digest=sha256:02519bd2ed586bffad438ac2cdd591892e749d48210263181f05bf8d475dfa9e

Observation 41772f54-ccfc-4673-b774-9972e69962d2 · inbound

Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation cites this paper.

Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T08:34:04.905020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:34:04.905020Z digest=sha256:16b0bffd08137fe20e29bdc6224e4c2f3c03440f9b0764fd15222081c670e0c7

Observation c73b65ed-403e-45ed-bb08-fed617c28cae · inbound

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation cites this paper.

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T01:28:19.362832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:28:19.362832Z digest=sha256:0b520d81f180416a0386080061557bb2886e85bd14874ddbb83fd92f889a2a28

Observation 90fecece-1fc1-4895-9fda-4d74f8cb0803 · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T00:28:20.634756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:20.634756Z digest=sha256:ab6122f6134bb84e9493ea3bfed37a824df1ea18c50604a9d9b94d5c02bcb196