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Paper Citation Record · LEDGER

Teaching LLMs to Speak Spectroscopy

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 4 inbound Pith citation observations for arXiv:2508.10075.

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

pith.paper-citation-record.v1
2508.10075 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:46:50.624612Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T16:00:44.310044Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f4f0ec69-4b06-4c23-8417-1da1b63c3090 · outbound

This paper cites an unresolved cited work.

Teaching LLMs to Speak Spectroscopy Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.389206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.389206Z digest=sha256:9d1717eb61800121b7f1ddf94b04537932bd1ca2bf34975b846e853363973895

Observation 8b5d4ee9-23a1-48cd-a07b-4b74dd31803b · outbound

This paper cites Liu, Z., Lin, Y ., Cao, Y ., Hu, H., Wei, Y ., Zhang, Z., Lin, S., and Guo, B.

Teaching LLMs to Speak Spectroscopy Liu, Z., Lin, Y ., Cao, Y ., Hu, H., Wei, Y ., Zhang, Z., Lin, S., and Guo, B

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.561282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.561282Z digest=sha256:436a9cdeea722ff3217e20ca8842c8d5edb2c40d861552b8798627f865781f89

Observation 58cc2da9-95c3-4b4f-ace1-5292cb200925 · outbound

This paper cites ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing.

Teaching LLMs to Speak Spectroscopy ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.595964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.595964Z digest=sha256:65ce5df3e111b882ed53135538e78433d0dfc44c7dc73d18fc8082e96fac277f

Observation 65bc932d-fff7-419a-807f-62024747f3ca · outbound

This paper cites ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing.

Teaching LLMs to Speak Spectroscopy ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:46:50.696389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T20:46:50.599733Z digest=sha256:c7a37c9954df8543f6830b4dbf41c8ebfd44c99d74d30a7a3984b0ff9df026f6

Observation a75d95e0-0923-4876-ae61-88bb313ca038 · outbound

This paper cites an unresolved cited work.

Teaching LLMs to Speak Spectroscopy Unresolved cited work

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-05T20:46:50.612538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.612538Z digest=sha256:f260a3dd74e33c3fcdbb0f3e9592e4ee4bafccc4804411659dc52f723ee67bfe

Observation be22cef7-0f13-47e7-9a57-f091a3739cc5 · outbound

This paper cites an unresolved cited work.

Teaching LLMs to Speak Spectroscopy Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-05T20:46:50.652471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T20:46:50.615767Z digest=sha256:e43fdf5ca8ba7f43f15a64e03dc02dcade51e92a7e3bbc35cd4eaa13be90a595

Observation d9b180a8-6d7e-4959-a135-dc6cf8c72780 · outbound

This paper cites UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials.

Teaching LLMs to Speak Spectroscopy UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.621693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.621693Z digest=sha256:a368393c1e1301da869afeab64f4ab38ba69252ea306bc9989aec1630809d7a7

Observation d8efc2c8-a520-4c34-94a0-8f2f626eeb5b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Teaching LLMs to Speak Spectroscopy Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.624612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.624612Z digest=sha256:eb9eac17fb7a8e271e58d2706a7fc62f2f4343ed5fe2157361aac628f04418fd

Observation 7f8fb760-0802-42b8-8690-c93fb7646a22 · outbound

This paper cites Language Models are Few-Shot Learners.

Teaching LLMs to Speak Spectroscopy Language Models are Few-Shot Learners

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:49.825400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:49.825400Z digest=sha256:7edad6e93c8a50d82cc6bb2c60faf48fbb2f9c2202a78b4eb8b92ff06801834f

Observation ca666bfe-4770-47a5-a596-1b322e529a10 · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

Teaching LLMs to Speak Spectroscopy LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.618756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.618756Z digest=sha256:748d570cb397aeeebabb8ac7c5f8e24ee0218eb3f4a6c127e0cc37d17ffb5603

Observation 41307897-3d4a-4117-b323-9bc165ee474c · outbound

This paper cites Scaling Laws for Emulation of Stellar Spectra.

Teaching LLMs to Speak Spectroscopy Scaling Laws for Emulation of Stellar Spectra

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.606162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.606162Z digest=sha256:a0f258ea2604a31570eac216f4dad82e9cb2025d7c24c959b0449df12c1d7a9b

Observation 9c5be46f-5782-43f2-be76-809eb9fdba14 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Teaching LLMs to Speak Spectroscopy An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:49.917552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:49.917552Z digest=sha256:5c848c545f2bc4874da196b42bf7c1918dbb8b4ab9e2fdcfd2ad6e70e76834b8

Observation edee1cf9-9482-4d0d-af25-3cd725c0d2c8 · outbound

This paper cites 3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery.

Teaching LLMs to Speak Spectroscopy 3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.282066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.282066Z digest=sha256:c06619c082d5555a7d170a5d777a123219bc0189a3726bb7398b426342fa747e

Observation f0a743b1-1e7a-4df6-a0a1-f8526a7d3874 · outbound

This paper cites The Scaling Law in Stellar Light Curves.

Teaching LLMs to Speak Spectroscopy The Scaling Law in Stellar Light Curves

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:46:50.684273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T20:46:50.602897Z digest=sha256:54563d888d11a63630d880d138952aa145a2da32aa8d1235a1e4fd55c7d013c3

Observation dd55dae9-a756-4a0f-beb7-d3aaca500ab9 · outbound

This paper cites Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

Teaching LLMs to Speak Spectroscopy Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.020482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.020482Z digest=sha256:237a877a952674bac11b378281036da2bce49c31ce66066f36791a3071fbfe35

Observation 93910225-29e5-4306-b647-d001d1b8067d · outbound

This paper cites Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

Teaching LLMs to Speak Spectroscopy Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:50.126950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:50.126950Z digest=sha256:bb1db235439f5be94858ecb3b79cbb7792d86e207394976753e98bd655a36363

Observation 186a6181-1c16-4eb5-8c04-c89100e85396 · outbound

This paper cites Scaling Laws for Emulation of Stellar Spectra.

Teaching LLMs to Speak Spectroscopy Scaling Laws for Emulation of Stellar Spectra

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T20:46:50.672420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T20:46:50.609276Z digest=sha256:6ba4975e56d6b89d64a36da6c7cf9a1b02be08882f54c0b182cd0d7f5dd8cfbb

Pith citing papers

Observation 91f12d3d-caa0-40bc-b550-9554686bb503 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Teaching LLMs to Speak Spectroscopy

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:50:57.895078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T02:46:14.834690Z digest=sha256:4eea15d9c3e86c4841250215257795ec94ee3e239ee9304fa3bc8cb05629b7cc

Observation 80c1c0da-3c44-4ebc-a857-9da0ee2d22ea · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Teaching LLMs to Speak Spectroscopy

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:55:16.038554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-25T02:51:29.233816Z digest=sha256:ad370201772bd9c14fc722bde46cd513bbba3b5b1635d31a14bbf5f4459e6d48

Observation 58851cda-876c-45df-871c-820717c385d0 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Teaching LLMs to Speak Spectroscopy

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:55.600867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T16:40:41.013048Z digest=sha256:62decc927ac68e145185af66859a67bb758163c2ab958b8ca6dbbd1506aeace7

Observation a9d32582-9cce-4ed1-a975-4c2b3bac5ce3 · inbound

Executable verification through formalized expert reasoning in astronomical spectroscopy cites this paper.

Executable verification through formalized expert reasoning in astronomical spectroscopy Teaching LLMs to Speak Spectroscopy

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-08T16:05:06.239005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T16:00:44.310044Z digest=sha256:c3c3d39e09bdeb2023a7c0391727bac67b30a1c842ef50cbd38542886af69de4