Paper Citation Record · LEDGER

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards

As of 8 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2602.01624.

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

pith.paper-citation-record.v1
2602.01624 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:43:11.153141Z

measured 8 of 8 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 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

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 070a6990-8b71-4a0f-9955-9a99132f5687 · outbound

This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.883557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc87a030-d935-4ef9-877e-e047c9b48118 · outbound

This paper cites Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.954122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e0331c-6d15-4726-8fac-ec5a0cf76d5a · outbound

This paper cites an unresolved cited work.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:11.079988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4faa6e-1f58-4f90-8f1f-ae2f72849034 · outbound

This paper cites glasses” token)Our OT Plan 𝐏⋆Mass m = 0.5(✗.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards glasses” token)Our OT Plan 𝐏⋆Mass m = 0.5(✗

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-03T05:43:11.153141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e7f603-30ec-4d03-9699-8bd96854e382 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.522035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5604de6b-28d0-4bed-b254-738722384dcb · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.665767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce74cbc4-13c5-4028-85b4-25f581518481 · outbound

This paper cites Izquierdo, S.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Izquierdo, S

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.605050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0788ba6e-18ce-4a2a-998d-4876eb4c80d2 · outbound

This paper cites Li, J., Feng, W., Fu, T.-J., Wang, X., Basu, S., Chen, W., and Wang, W.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Li, J., Feng, W., Fu, T.-J., Wang, X., Basu, S., Chen, W., and Wang, W

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:10.789368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.