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Paper Citation Record · LEDGER

SERUM: State Extraction and Refinement for User Modeling

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:0798ec171cc67fb90c397973e73b2e15afaf115b0afc548ca3ee8aba1c6a1804

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=sha256:21cb330e9a4c0e47f5b53d4fa334ece4167bcd3be2edc7bb619779c95e180694

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=sha256:3e2f516c5187524bf7f6678c544ca40ef9d617f16a99eb27e0485e36a7a11f5d

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=sha256:48240f221015273767c6ae46b1e21499665c593fc82b6c7b7db29b4f1c098458

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=sha256:59a344cee55c57b8ca519a2ef03a3982bb1a033d7005945e1ae60094926ea6cf

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:b2d0c882b296593e2c8934461f0bd64da629638a2702dcad95cc094296664253

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=sha256:4abeef3d0daa767d073f73d4c187a937da1a855d54e47f48703c2e8adb36ab97

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:a228614fa1934b7df4821490fb073dfee2f5df146b6d28a244c0483ba97492ed

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:ed1d00b065327d2b51aab8b54301051bce5ba36373854b1805dfd3aa32cf6dc9

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=sha256:913aeb053317e47becb7f0f0dbadf96d4f91d9939b2d9d7ef481543b9ad4974e

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=sha256:855e80e84e64d10c7d10050308f2c90d0b9b706a907f405170186a0939a4a704

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=sha256:3a4ffbf0066d5317d3263918e7483c3afb6f383eac6d27a29e0b763c41c93dc9

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=sha256:15e5311950ede3a0ebd5bebce1d6cebfc3730c89fa2840bc6f6d6d495aab1d67

Pith citing papers

No inbound Pith citation observations are available.