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Paper Citation Record · LEDGER

SERUM: State Extraction and Refinement for User Modeling

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.29181.

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

pith.paper-citation-record.v1
2607.29181 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:13:38.886950Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 441016ad-e0f2-4a73-a3a0-aad1412b2e7a · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SERUM: State Extraction and Refinement for User Modeling Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:37.467317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:37.467317Z digest=sha256:ae594bce904d976cd09be60b4fbf38a42c5e6e36c534326478065cbfe2fad45c

Observation deb38952-b047-4994-b7cf-3187ee68f4b1 · outbound

This paper cites Intention-Conditioned Long-Term Human Egocentric Action Forecasting.

SERUM: State Extraction and Refinement for User Modeling Intention-Conditioned Long-Term Human Egocentric Action Forecasting

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.253096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.253096Z digest=sha256:1bdd824a1bf961d4df4f6d4dcbdf4ddc57035606d624f9e9112fe8a590b0a19b

Observation 7b7c0605-2cba-4aa3-9c6e-7966ca71ef51 · outbound

This paper cites Omar Shaikh, Shardul Sapkota, Shan Rizvi, Eric Horvitz, Joon Sung Park, Diyi Yang, and Michael S.

SERUM: State Extraction and Refinement for User Modeling Omar Shaikh, Shardul Sapkota, Shan Rizvi, Eric Horvitz, Joon Sung Park, Diyi Yang, and Michael S

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.311184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.311184Z digest=sha256:5ef7727070dd3fcc33016f2ba94482598a74fd134fafc5015af9bc71b844a56c

Observation 92410adf-2819-49df-b5ac-9cbecd12fc9d · outbound

This paper cites an unresolved cited work.

SERUM: State Extraction and Refinement for User Modeling Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.424939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.424939Z digest=sha256:4c22d3fd0cd24995faf3471d857e2b7be7e8e3621aa1e525baf3c34760952448

Observation 70d83a25-4c97-4471-8c44-fd8ede4213ab · outbound

This paper cites Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models.

SERUM: State Extraction and Refinement for User Modeling Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models

Reference 11

Resolution
malformed identifier
no resolver link, observed 2026-08-03T12:13:38.580739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.580739Z digest=sha256:0adb735b6bb5d9b6e9fdf55cda416ec7abc844f91e7e5f8acd08f657144b5ee0

Observation bac0c751-cba5-450c-b095-4457598404d8 · outbound

This paper cites an unresolved cited work.

SERUM: State Extraction and Refinement for User Modeling Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.721520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.721520Z digest=sha256:c4fe42371e7dc302862d7ecaeaa637d32b74e5fa3bb2925c2da780634e362cbd

Observation 12ccf7e9-f0fc-4d4c-93c8-b7b3732c01b6 · outbound

This paper cites Table 13: Schematic equilibrium across VLM scales: vocab size by pass.

SERUM: State Extraction and Refinement for User Modeling Table 13: Schematic equilibrium across VLM scales: vocab size by pass

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-03T12:13:38.886950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.886950Z digest=sha256:3d0e9275d298449a766fd58eb734ea1d013f4a7fd83f89cff21599dbd23c3bc1

Observation bb768c1c-e8ad-4208-b85f-31fc501e4502 · outbound

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

SERUM: State Extraction and Refinement for User Modeling Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.495584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.495584Z digest=sha256:84a1adc21e65f60f6a5439d68b2315ca10c85c0f8faf8ef9ccbe81186e393eef

Observation 61e55d64-84f9-4ed8-8381-4de5fec111d8 · outbound

This paper cites Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli.

SERUM: State Extraction and Refinement for User Modeling Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:37.819229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:37.819229Z digest=sha256:dbb965a68c86fb029789a62a3dc9db785c898a7bdc9371122f0f18da0d6ecca8

Observation 21144a53-24a8-419f-b19a-88227dd522d0 · outbound

This paper cites AnnoLLM: Making large language models to be better crowdsourced annotators.

SERUM: State Extraction and Refinement for User Modeling AnnoLLM: Making large language models to be better crowdsourced annotators

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.036689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.036689Z digest=sha256:7311941409d679bba06bc7751cc64b9dcfbc0a5d25200ff89ac87d38e0dc308f

Observation 1c8a3931-ef25-47f7-8f0d-3cb8305b55e4 · outbound

This paper cites ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks.

SERUM: State Extraction and Refinement for User Modeling ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:37.936172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:37.936172Z digest=sha256:76ac2db16a325175f8bbbb88df1e2c7eb687df00f67a93e35c96921d02f451f7

Observation f93f0560-1d80-4ee6-b5d9-59a6cea13de7 · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

SERUM: State Extraction and Refinement for User Modeling AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:38.159275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:38.159275Z digest=sha256:eebb4803c1b58ab3a03cc9f942bbdfc921beeec2d6ce5af8438bdbf7c5635511

Observation 8a7cfdf8-ec4f-45c2-8020-5d02b2a7fc78 · outbound

This paper cites Qwen3-VL Technical Report.

SERUM: State Extraction and Refinement for User Modeling Qwen3-VL Technical Report

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T12:13:37.617740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:13:37.617740Z digest=sha256:467f67b4f4e8803c5c315cb6ea2e23bdf7d7d2b918a9ab1a1a470c8747191e36

Pith citing papers

No inbound Pith citation observations are available.