Paper Citation Record · LEDGER

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.04733.

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

pith.paper-citation-record.v1
2605.04733 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:51:49.677777Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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 fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0a85725-8100-4d7e-b790-42df59afd961 · outbound

This paper cites "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.502851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 534729a2-073e-432c-be38-3947d6ad5ee2 · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing A Survey on Evaluation of Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T13:15:45.506116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8420ad2e-6e6b-4cfd-acef-2b8df55ee6f7 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:12.802561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c87353e1-120c-47b9-866e-2519e116de25 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Proximal Policy Optimization Algorithms

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:15:45.511763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 497410bd-4f9f-4076-962a-581e54bbe8b9 · outbound

This paper cites Character-LLM: A Trainable Agent for Role-Playing.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Character-LLM: A Trainable Agent for Role-Playing

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T13:15:45.509184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db5096af-2800-4684-8463-9f438a3f3c5a · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:12.773609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fca355c7-55ec-4541-91f2-f2c3bf211db1 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:15:45.514414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e012b23-4011-4da1-af2f-ea8564f77291 · outbound

This paper cites DO NOT guess the plot.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing DO NOT guess the plot

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.838690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7241aba6-236e-405e-ae35-26e71c67011b · outbound

This paper cites Character 1.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Character 1

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.825812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d59daf95-c11d-458b-8bd4-c696238675be · outbound

This paper cites A man wearing a gray jacket and a woman with long dark hair.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing A man wearing a gray jacket and a woman with long dark hair

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.840807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1cd1731-7dfa-40fe-8cb0-82cb009d02ca · outbound

This paper cites The man stands very close in front of the woman, facing her directly.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing The man stands very close in front of the woman, facing her directly

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.844936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5092a4a7-830f-44ba-9bd7-49330cfad273 · outbound

This paper cites He looks sad.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing He looks sad

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.842792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b2ae8f7-5671-47c8-9617-f329b54bdcf4 · outbound

This paper cites The woman folds her arms tightly against her chest.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing The woman folds her arms tightly against her chest

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.832515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88d40669-a0c6-4c7d-91df-04f976287fd9 · outbound

This paper cites THIRD PERSON.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing THIRD PERSON

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.830987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7cbb879e-872f-4b08-a45e-75742a022acf · outbound

This paper cites Personality.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Personality

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.846617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 388e96cd-294f-4303-8a3f-039a721f2049 · outbound

This paper cites camera”, “scene.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing camera”, “scene

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.834637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20c71383-26a9-4fb3-aa4e-5bc530979f0f · outbound

This paper cites an unresolved cited work.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:03:36.832754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87e537a7-2c59-4c8d-811e-d5c75f4a4f2c · outbound

This paper cites describing the video.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing describing the video

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.823716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b93a62b3-5f92-40ee-885a-ba99c2e35499 · outbound

This paper cites he said”, or bookish monologues. SCORING ANCHORS (5 Tiers): • 0-20 (Tier 1): Script/AI V oice; feels like a robot or contains “As an AI.

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing he said”, or bookish monologues. SCORING ANCHORS (5 Tiers): • 0-20 (Tier 1): Script/AI V oice; feels like a robot or contains “As an AI

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:03:36.836913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.