Paper Citation Record · LEDGER

Understanding HTML with Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.03945.

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

pith.paper-citation-record.v1
2210.03945 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:25:29.246094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:33:38.050104Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c14b849-65f4-4a88-be22-71bdd81bd604 · inbound

Language Models can Solve Computer Tasks cites this paper.

Language Models can Solve Computer Tasks Understanding HTML with Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:17:26.677631Z

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 7f3164b0-f1f3-4bad-8191-39d8a382d565 · inbound

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents cites this paper.

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Understanding HTML with Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T12:06:13.804096Z

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 cc91a8e3-20aa-4a4b-8245-34d1af0f1e27 · inbound

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks cites this paper.

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks Understanding HTML with Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:32:18.658451Z

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 ab91bb41-ce6e-45d2-8e3d-59a58eb86306 · inbound

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History cites this paper.

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History Understanding HTML with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:29.246094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e80b216-acb3-4644-865f-3cb936702200 · inbound

Skim: Speculative Execution for Fast and Efficient Web Agents cites this paper.

Skim: Speculative Execution for Fast and Efficient Web Agents Understanding HTML with Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:33:38.051913Z

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.