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Paper Citation Record · LEDGER

Crystal Structure Generation with Autoregressive Large Language Modeling

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.04340.

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

pith.paper-citation-record.v1
2307.04340 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:33:05.322305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 2eda9604-eb84-465d-93a1-31ff1781848b · inbound

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design cites this paper.

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design Crystal Structure Generation with Autoregressive Large Language Modeling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:49:13.949772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:49:13.949772Z digest=sha256:51ec2bcbaf8166a46df67c060810b2951068666317978765e54c3cfc8523544c

Observation 4ed7751e-f306-417d-92e3-60c4c8b03408 · inbound

Establishing baselines for generative discovery of inorganic crystals cites this paper.

Establishing baselines for generative discovery of inorganic crystals Crystal Structure Generation with Autoregressive Large Language Modeling

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:03.106978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:19:03.005353Z digest=sha256:b60c89f60e4306bbd537f95e3ae352d6b6f9f28ab609488f9e38fc8e9a6465fa

Observation 3d4a5baf-5b8c-4144-a7e8-9a0b46fe3aa6 · inbound

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning cites this paper.

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Crystal Structure Generation with Autoregressive Large Language Modeling

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:05.322305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:05.322305Z digest=sha256:feb72dd6eddac8ca8f9c498731bb3a0a4fbcc65d19e49954acc4f9663445de9d