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Paper Citation Record · LEDGER

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.06955.

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

pith.paper-citation-record.v1
2107.06955 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:21.569567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:40:41.839156Z

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 b90eccac-bec0-45ef-b263-2b2413095b58 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:40:41.842833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T00:40:41.647820Z digest=sha256:5d64f4ac7a4bc7c6f3787b7946eb1daf6bba0897301a8f7bb53c995941ed1144

Observation 387242ac-7420-4edd-bf47-40f8861fd203 · inbound

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model cites this paper.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T22:39:59.001800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:59.001800Z digest=sha256:dc7f44dbe07e82c84dd56e7ea468b57a185cfb5739d148d4bda1b3168522a7e5

Observation 5f6a8e5f-4826-437a-bd56-fb07154f952c · inbound

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars cites this paper.

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T10:40:21.569567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:40:21.569567Z digest=sha256:4c758416918a37995258e2fda138f5d92e4eded060eed797f81fdeab8906e321

Observation b736ca73-649f-446c-86dd-e892b3149e23 · inbound

ReFinE: Streamlining UI Mockup Iteration with Research Findings cites this paper.

ReFinE: Streamlining UI Mockup Iteration with Research Findings HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:00:47.475867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T20:23:42.401357Z digest=sha256:82ce777689d5e5ecbf1b823aa83b970ca74250e4d71aa83cdd660f08e02dfb6f