Paper Citation Record · LEDGER

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2506.09084.

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

pith.paper-citation-record.v1
2506.09084 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:53.939726Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:29:06.054516Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:29:10.970289Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c620f20-6546-4467-b8d3-7d6e3ad201fb · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.650368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da7a9f02-6810-42ef-92ee-8bcddfb42a04 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.636339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7084212-6408-4b5b-9c5c-37e6391a829f · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.699486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 451028c1-0eaa-4c87-b4d8-028dc2e06e45 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.705268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845a7333-e81d-4c85-b3c3-030d04f21db6 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.711001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1017f90b-af28-4f0e-9641-31e06c3eab80 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.593436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 425c7742-3eb8-47e2-b14d-5554ee5ee6ae · outbound

This paper cites M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.725271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680abd0a-6883-4bfe-a153-78357a2b025e · outbound

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

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.730243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921da315-344c-49b5-9326-b047c5b66b96 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.563897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e28f4d4d-0af6-49f8-a80d-1d991d38c453 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.548752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 264598d0-df33-4734-ba81-49371344cd8b · outbound

This paper cites Leveraging Large Language Models in Conversational Recommender Systems.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Leveraging Large Language Models in Conversational Recommender Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.744862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b78ff8-f863-41c2-8dba-d5fd19925ab7 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.750172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdd30d6-ed98-4529-a695-564fbda6d3c8 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.524252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3bda4e8-e3f8-40cb-9147-4f3741fbfd59 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.759895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3bfd67-d442-4fcc-afb7-263c483429f3 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.768955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f28dc21-6299-44af-ba69-4deb1b855e3b · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.772970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87e05273-b990-44e9-a334-ea6de3d8d8c3 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.777799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88540e7-424c-47c3-8013-70545b611bbd · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.787319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ccd9a6-38a9-4c5e-9f56-c8b5bb7acdd0 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.791878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92d5c02-792c-4f55-b0a3-1c9ba68fc5e6 · outbound

This paper cites Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.796277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4726e0b6-1503-4c90-81fc-1907d6f0beb1 · outbound

This paper cites PBNR: Prompt-based News Recommender System.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models PBNR: Prompt-based News Recommender System

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:14:54.163340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a6d14d7-8deb-4f03-8a0c-2580364b4354 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.811925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5e5ca8-e5ac-4b9e-9cda-6055b51bb065 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.431005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e410608-4ac8-4f91-9354-bd6efa3c0448 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.416630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 509a68ad-7c94-4f74-8f76-755d41e84b25 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.401637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc3de1d4-52fd-4044-ab10-6e9e03dc2d60 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.386138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ec8a601-f1be-4d03-83a7-ab8ef212e01a · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.833972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ee7dc5-c831-4ecf-bf45-904417d7fc0f · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.839609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c1e07e-f0a7-47a3-8cfb-ac3fc6413973 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.849978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e47ea2d8-edc4-4dcd-a44e-94021d6163e4 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.332254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5acc270-963c-4e46-aed9-40d4bf30708f · outbound

This paper cites LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.864785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480ff5e9-e259-4bf5-8983-d94b28945888 · outbound

This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models RecMind: Large Language Model Powered Agent For Recommendation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.869440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a854ff20-7293-4fbb-bb7d-bb9c5d7cb40f · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.314061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa57c608-f9bd-4b07-ae7f-b1974bd60cef · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.879530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc99c1ea-9aee-470b-8d7a-de9b68633f0a · outbound

This paper cites Aligning Large Language Models via Fine-grained Supervision.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Aligning Large Language Models via Fine-grained Supervision

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.884160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bcb839f-441e-43e9-8410-effe79021641 · outbound

This paper cites Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.890011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7bced7a-0b29-49b7-a975-30ee6a5c31a0 · outbound

This paper cites Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:14:54.067221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10c749f9-321a-44d5-9331-94b4450fe5a3 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.289612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5d0c6fc-5c92-442f-9eff-f048b2fb185d · outbound

This paper cites LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.905674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72fc2e69-0f65-48ee-8047-bd62e8c59ec2 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.911401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b22be86-88ba-40e9-b5ce-694c1de912c6 · outbound

This paper cites Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.916594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ad0320-2e6c-4dd1-a19d-fbb02341109c · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.275018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf5aeb96-f3f0-4777-b5cc-a763905f49a8 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.925447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66132f65-7f21-4201-91dd-3c047c34ecdf · outbound

This paper cites A Survey of Large Language Models.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models A Survey of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.930076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3175445d-906a-40a5-8e0e-0a036bde2627 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.934987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268ec62c-f0e0-4174-be98-63b3699c5c45 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.250810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 797d0562-979f-479e-8da0-fdc84616b94f · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Session-based Recommendations with Recurrent Neural Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.782554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7fb0d1-01a8-440a-ab39-ffbad17c1733 · outbound

This paper cites Proximal Policy Optimization Algorithms.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Proximal Policy Optimization Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.844915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ceaaa2e-9528-4644-ba7a-fbab7a0c5891 · outbound

This paper cites InProceedings of the 28th ACM international conference on information and knowledge management.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models InProceedings of the 28th ACM international conference on information and knowledge management

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.854847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc4a72f-11d0-4f7c-b39c-7a927b48b238 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.499858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef2417d0-c98c-43d4-85ec-b1b2e57150b1 · outbound

This paper cites an unresolved cited work.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:14:54.578786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 4d898b2d-8dbf-44e1-b734-2cdfbaa5aece · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:29:11.064226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.