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Paper Citation Record · LEDGER

Understanding HTML with Large Language Models

As of 21 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T12:17:26.602361Z digest=sha256:282f774602422b4b2d7d79fb73a202bc0c2a8a2fc0b129b79da185b7335b0056

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T12:06:13.697487Z digest=sha256:c1a4c8e139e75598a882145cfd635142fd7a056320e0f5cb7ad8a81bbe540331

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=sha256:252d25dade5c27bfdb5901d4c86f35b6717ea9cdc717234f4b34d62cb558d717

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:e8cf95e4834f665ae2f4f71ee9fae224c1330b34c2f024f5f5aee0272ccb5a69

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=sha256:3cdfc92234e798acd52065b1c923231c1f803c762c7ec86069ed4a5766222c90

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=sha256:328506bfe8bfd5188304d41c203ef23b9e9f677406563a737cc02098b6630d6a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:a495b595cfeddcddd8c4dc94b257ca506924ef8d99374fafeab8ac057e1b9721

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:e8ca9fc7fc81767147a557ff4cbcfd606b51581cb2f166b2eee2cc7e3a1a9832

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:bed5140e8ff98422f9dfedb62e6f2b2dd72e7685b2c58278544293d02aa37fd2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T18:31:18.061863Z digest=sha256:4e2cc3a6177ecfcb530b8bc069dff91eb34867f0cdf9ccfba9e7b50f62a03636