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Paper Citation Record · LEDGER

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis

As of 23 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.01800.

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

pith.paper-citation-record.v1
2607.01800 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T17:16:44.993306Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact5
  • verified fuzzy5
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97df55fb-dcb7-48ef-a362-b4e866e4f555 · outbound

This paper cites Edwards Carl, Lai Tuan, Ros Kevin, Honke Garrett, Cho Kyunghyun, Ji Heng.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Edwards Carl, Lai Tuan, Ros Kevin, Honke Garrett, Cho Kyunghyun, Ji Heng

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T04:50:42.669894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:9638d02c9ec70aa65a9c35461db23f27dbf9cfbf68beee060e886c0bddb7db75

Observation 5affbf50-4670-472c-b8f7-b6db9e75df97 · outbound

This paper cites Edwards Carl, Zhai ChengXiang, Ji Heng.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Edwards Carl, Zhai ChengXiang, Ji Heng

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T04:50:42.672273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:fe40afb5dc771c147c553cedd137a3ad6d7a2a0a9b3ff6cc08f653eb4fbc23ea

Observation 85dafc2f-1f63-47a2-aba8-d4593b9545bc · outbound

This paper cites Reasoning robustness of llms to adversarial typographical errors // Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Reasoning robustness of llms to adversarial typographical errors // Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T04:50:42.662268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:6085286d98c5af2249ecf614232fa561ffb60278a595357dc96116db3db72787

Observation 2e33f2f2-ab40-41b7-a38b-034c0d67a0e0 · outbound

This paper cites Robustness in large language models: A survey of mitigation strategies and evaluation metrics.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Robustness in large language models: A survey of mitigation strategies and evaluation metrics

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:18:42.992500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:0ad57e7a3b26951132414253b08002781f6e3cc81529af367c5fa65a72936221

Observation 4fd243ca-36f9-4822-aa39-6ddfa23dacaa · outbound

This paper cites Beyond chemical qa: Evaluating llm’s chemical reasoning with modular chemical operations.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Beyond chemical qa: Evaluating llm’s chemical reasoning with modular chemical operations

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.001985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:fb10bb9d02299f236d00a96c35650a14c6087996f046fdb73d6926aba8cbd9f2

Observation 315e5254-c692-4891-bc9a-f0987af5e457 · outbound

This paper cites Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:18:43.004809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:59cfc0b333856c949ca2adcf48a20f8f2f0d79ead93e65e1825d96e34f6affc7

Observation 9d67afbd-e9c3-43c6-8418-b93753d0927e · outbound

This paper cites 10 Liu Zequn, Zhang Wei, Xia Yingce, Wu Lijun, Xie Shufang, Qin Tao, Zhang Ming, Liu Tie-Yan.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis 10 Liu Zequn, Zhang Wei, Xia Yingce, Wu Lijun, Xie Shufang, Qin Tao, Zhang Ming, Liu Tie-Yan

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T04:50:42.664656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:15386fef13a5d2d5d1d9b3c0c0de3e2d9ce422c3d280eaeed30b1bdb786455fc

Observation bef840f1-c936-46dc-8621-eb584aa3158a · outbound

This paper cites Pei Qizhi, Zhang Wei, Zhu Jinhua, Wu Kehan, Gao Kaiyuan, Wu Lijun, Xia Yingce, Yan Rui.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Pei Qizhi, Zhang Wei, Zhu Jinhua, Wu Kehan, Gao Kaiyuan, Wu Lijun, Xia Yingce, Yan Rui

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T04:50:42.667334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:d612b47bd0d475f1776c2d34d97fdf51588358718c6a240d34f5baabe6643afb

Observation ae988d8b-7db4-4aea-a540-21184b056e8f · outbound

This paper cites Galactica: A Large Language Model for Science.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Galactica: A Large Language Model for Science

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:18:43.006124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:46131a54521ec9e6bc01c58590658233b091e13ae564e28df708e8c0cd8ad7b1

Observation b74a73d3-943b-471e-8867-978e8b7c0da8 · outbound

This paper cites Qwen3 Technical Report.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Qwen3 Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:18:43.009133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:7bed274aee383efa6d3d16251629fb504225abcdeeb30cb43042ace629b2b9a6

Observation 64946a7b-adb2-4187-b3cf-18b1304a06a9 · outbound

This paper cites Assessing Adversarial Robustness of Large Language Models: An Empirical Study.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis Assessing Adversarial Robustness of Large Language Models: An Empirical Study

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.007917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:367fc053bc42b8d5f69df5038f6ff425e9e254f4f2676645c90e295a48d82d7f

Observation 041e8b47-8dae-459e-a679-f172f765832f · outbound

This paper cites trust region.

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis trust region

Reference 12

Resolution
malformed identifier
arxiv_id, observed 2026-07-03T17:18:43.000722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:82973ee195946ddbdbac0dec975e4da3f7cd4c051c68837b6ce59c43474b8d52

Pith citing papers

No inbound Pith citation observations are available.