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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:82054e25e13fc21ff0487b8d413b7e9b3bf7bb61ef0ad9153aab370540cbb073

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:248ce98d9213999185058aef6001c19e554e7baa5af0b243f29ebbcfe3e7b736

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:9c2c55a372a0379bc26d1620ad6c767fc042016a2e3c80b53a35a2fd0701dcb5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:9e5d0405f6a625994163e7864cb1abee0249b9420b214ba410f34c99dffdf167

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:ac64788cbae3b06565b2c0873830e4406766b255f9601d7ce97d1486ab47102d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:524d629a817cf347ce4190bd42f256582d20154f11615ef3c6357377e55fb432

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:5993f06686183380530b63f90a4935cd3804ee7bf8ced05df821d5b551513126

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:346657265423fb40ae5e9f22fea65742a1385e9ee1843df8434587059cf27a59

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:f52c3075868784a58ae1526967efc23be47997dc8917823ac97fea7c985a7612

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:6a059967bdedf1b8527c2553f68e929e8e66f257c3c98c7814e6a9332d31af02

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:6b848506557ac7d1e5e5285bd453a42adf26938a74a517c435cad288fa3740a7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:16:44.993306Z digest=sha256:bdd71eadc66ac8c227bc31b439875c7a82ef6420a8d2b35649b02adbe757f0f7

Pith citing papers

No inbound Pith citation observations are available.