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Paper Citation Record · LEDGER

Understanding HTML with Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:16.444670Z

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T12:17:26.602361Z digest=sha256:3600709c1913f2f3cedab12a352fa8b7aa610d6e8599e6cabf00d925f585eaf8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T12:06:13.697487Z digest=sha256:ad38a2ee3cb5b1fb8e6b568fe3d7dd02026616ac69845f631381c949a9bda30d

Observation f82a5419-bd32-47bc-b585-4fc5d49b76db · inbound

Automated Test Transfer Across Android Apps Using Large Language Models cites this paper.

Automated Test Transfer Across Android Apps Using Large Language Models Understanding HTML with Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T11:46:48.507857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:46:48.507857Z digest=sha256:408a0a94a399998a1abb64fc8a0dfb82f2de03092625aeeba494e124c26aa33b

Observation 2b5ecc0e-efe3-49fd-9fb4-5c5dc1856af4 · inbound

The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data cites this paper.

The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data Understanding HTML with Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:23:12.081382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:23:12.081382Z digest=sha256:6a62f043df7adb55eb5d34cba819df22c0abf7b9360d1578c75b62e23bb294e7

Observation 26e54c3c-dcf0-48a2-96ed-46ab41d35371 · inbound

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings cites this paper.

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Understanding HTML with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:58.421209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:37:58.421209Z digest=sha256:d4db5abd5c4dd877c11994bf6c9771dc2de08468da7fa0bbe256c6e45d78a67f

Observation abc4d60b-0ac1-41ad-9889-ed4c7c43f25b · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents Understanding HTML with Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T20:57:48.406389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:57:48.406389Z digest=sha256:ff0281db87c22c4222969a6bf2b76626716db8e6f93647b211bd9a46571dcb71

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:ef22026e7e5a4cb4eb39cad5a36a521a619fc327fb69e31ab3ab8a15757b569e

Observation 27b70011-3568-40de-84dd-0eb4784cac80 · inbound

WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents cites this paper.

WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents Understanding HTML with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:16.444670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:30:16.444670Z digest=sha256:8025ac7928b82d0fb1089c8e4916e4c76b0a851b15982a292b3a4eaad548f03b

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.

source=pdf_text observed=2026-08-02T22:25:29.246094Z digest=sha256:de1751a5626a33a11006fa3e4e9c563f20848abae3d1a4cfe0955d27f161d42e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T18:31:18.061863Z digest=sha256:52a29c5577a79169af57229dd7a8676fd1d24a7b8a0647e797be21fb00ff6df0