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Paper Citation Record · LEDGER

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation

As of 22 July 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2604.12372.

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

pith.paper-citation-record.v1
2604.12372 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:46:48.150861Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+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 exact4
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1425123-5c9c-4969-9229-bc7637f70b87 · outbound

This paper cites Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.120192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:fd10a77ca4cde02ff3d06a89d559c45820a3ebb4236947926dff2653cde4f205

Observation 6d291117-5cc2-4168-a2cb-b33f6078f7ff · outbound

This paper cites PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.112574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:dbfd646e2352a5c380f8a715da662c7b3a033282fdda6426d489c7ee147158be

Observation 0f8601fe-16b8-4869-bd42-a81194887f0d · outbound

This paper cites Actions speak louder than words: trillion-parameter sequential transducers for generative recommendations.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Actions speak louder than words: trillion-parameter sequential transducers for generative recommendations

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.116384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:e259111df1bf5d9c535fb35d81fac7b1e39279d0406a3cb9dec3316c63525cd2

Observation 80436892-039f-4a14-893d-2c48f2677087 · outbound

This paper cites On the consistency of maximum likelihood estimation of probabilistic principal component analysis.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation On the consistency of maximum likelihood estimation of probabilistic principal component analysis

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.104633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:ada4f1e87d29b51d3f495c9fa765fbc6b25db5f1223947facea47317bc0d0f1f

Observation 563eed9a-03c7-4b7b-9019-fddd89c24e33 · outbound

This paper cites Sliding window training - utilizing historical recommender systems data for foundation models.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Sliding window training - utilizing historical recommender systems data for foundation models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.108822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:22e29c252bc8d365b9ed91f392af03fe4f2c73db4ac3a0c097bf754d0a7da4b0

Observation 9c189bcc-1e43-4c14-963c-41c154453f73 · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.077879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:1d94328e6adec1292d09056b082ab0ba2ec9c0e4775188bcbd6d19f5f965adce

Observation d42f636c-edcb-4c32-88d0-d7ccc622e60e · outbound

This paper cites Single-pass pivot algorithm for correlation clustering.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Single-pass pivot algorithm for correlation clustering

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.074454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:ba03a02e8779ef3d95b6233cc99d1e8db30ed73cd035e6950677a5fb3e0a157d

Observation 6116e2e2-1534-4883-952f-02ba7e57768b · outbound

This paper cites ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach.Journal of Open Source Software, 10(108):7489.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach.Journal of Open Source Software, 10(108):7489

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.083659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:a4342a1fae9d8fc4a6555b81c58b6dbab1b139a5c2db62cfc553e54bc6291b97

Observation fb377755-26a7-4831-afb7-c64a7051f2b4 · outbound

This paper cites S.} Subrahmanian.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation S.} Subrahmanian

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.100266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:5de9cdbba53f07b7119cce8db3adf0af9422af25ad3d5ec0e65f71fc9790d98b

Observation 7a3ced4e-d37d-434e-a999-97c7e175355e · outbound

This paper cites Judicial support tool: Finding the k most likely judicial worlds.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Judicial support tool: Finding the k most likely judicial worlds

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.066126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:2be782605067cea91cf8de9ebfd54f1b940f12a2066da5116d4ef7bdeeb7fa53

Observation 160087cc-c943-4e2e-8a5a-fb0b367afef3 · outbound

This paper cites Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-11T09:51:00.962976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:b84e437f22607aca2250cebe5a227021a5433e2755bafba40c989bbb41fdd637

Observation 261f69e2-fee4-4523-a6e5-d065825e46d4 · outbound

This paper cites MM-PoE: Multiple Choice Reasoning via.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation MM-PoE: Multiple Choice Reasoning via

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.070213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:de69f82d4d4d6beaf7a6dedd1c76543a19e107a9dae323d6f4ddd70ba2751eba

Observation 146641c3-67f6-40b5-84ca-860bfa8ed712 · outbound

This paper cites GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:51:00.970667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:d968467ded006fd16155c8ab4bdad738008de992035cf75681d96a8f2cd1a513

Observation 5aa3523c-187a-4dd6-8734-e9648cc3682c · outbound

This paper cites Pixrec: Leveraging visual context for next-item prediction in sequential recommendation.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Pixrec: Leveraging visual context for next-item prediction in sequential recommendation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:51:00.986277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:1fd8ca2f05a4ef11b7ff514969bbf32d839526ba81e287d0236b352e283b7467

Observation 95dc9fd9-8332-4a53-b838-ca356a68e7bf · outbound

This paper cites Bert4rec: Sequential Rec- ommendation with Bidirectional Encoder Representations from Transformer.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Bert4rec: Sequential Rec- ommendation with Bidirectional Encoder Representations from Transformer

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.061570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:4bb6fd6a23a65b37940b598d2a5cddfe142b5289e06564c5443788e62a8af7bd

Observation 8b4861b1-91d1-4b45-b2e6-6d1643a832f9 · outbound

This paper cites Springer US, Boston, MA.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Springer US, Boston, MA

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.092034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:bdffe4fac094960786aafcd20f7ac25afafd76c62c98a71adb9434d6e64c038d

Observation 7331b4cd-0c44-49d4-a2a3-a36349f2a596 · outbound

This paper cites Taobao User Purchase Behavior Prediction And Feature Analysis Based On Ensemble Learning.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Taobao User Purchase Behavior Prediction And Feature Analysis Based On Ensemble Learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.088160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:5b57c4815bd7a7a35045e7d80c76fba32a62c494d1491bda642683fe43d10187

Observation ee4162a6-739c-45bd-8ac9-f9b3e6686bb4 · outbound

This paper cites The trade-offs of model size in large recommendation models : A 10000×compressed criteo-tb DLRM model (100 GB parameters to mere 10MB).

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation The trade-offs of model size in large recommendation models : A 10000×compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:50:06.096232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:2e03a94bc37d4b05e9602e0d16c6d326a9b0efa2aac7832dba74167093f9057e

Observation 7cce386b-8628-47a0-ba46-2cf6775681bb · outbound

This paper cites Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems.

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:51:00.978708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T15:46:48.150861Z digest=sha256:4cf8a3c77e774d6ea72b4edef080ce30a1c6efd72203eecbda51ba891c39af62

Pith citing papers

No inbound Pith citation observations are available.