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Paper Citation Record · LEDGER

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2506.00009.

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

pith.paper-citation-record.v1
2506.00009 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:59.086248Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:46:33.957076Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 169d2609-077f-42c8-b364-a19d820dbab1 · outbound

This paper cites GPT-4 Technical Report.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-15T21:10:58.939534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.939534Z digest=sha256:befedb6d86ed9c1cfbc82fabf8a3e42699c8f727f627f321e800a757f89caf20

Observation 29d9c851-adef-4b24-89f9-40cdef2c4e7f · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.577698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.946693Z digest=sha256:fed13426a010991d9f839c84fada1400f3e3a4b7e1f0e2faef392420f23b3bf8

Observation c91d56b5-8101-4c14-8df7-12df00ed4498 · outbound

This paper cites Degtyarenko, P.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Degtyarenko, P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.559887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.952646Z digest=sha256:7467cc31931d9d4745d87c234471af974314579909529f7f4270b76ca7aa34bc

Observation 94a71882-9a2e-4d20-935a-cb2289a82258 · outbound

This paper cites Translation between Molecules and Natural Language.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Translation between Molecules and Natural Language

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:58.958881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.958881Z digest=sha256:5694b146c15972dbdd005f36aa31dbd708b8ef42ad8143aa6d3a31a9f57e24ab

Observation 7286b8c7-d01b-43a5-8f89-5852b328a5d5 · outbound

This paper cites Edwards, C.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Edwards, C

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.543207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.964914Z digest=sha256:2d72ee39a3689205fd8fec9cf0e99b0300cd252b8f9c4d2a97a37b1c0d5a1894

Observation 2219c46a-0fab-4613-8d00-4029efca0e2f · outbound

This paper cites Ertl and A.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Ertl and A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.525226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.970546Z digest=sha256:7981fa2672b6ae26451a6506d4be41d6db7e46d866ef4d1fce37f805dcf670b3

Observation b204f214-9533-447e-bbe6-bec9fc9fc7ec · outbound

This paper cites Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:58.977200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.977200Z digest=sha256:1278d8e481a4f693f910c1daf8866bdf0569144e60cde3e0367e37b2e034582f

Observation 6d9d9eb2-86c2-45d4-8794-ace4e1fc0e07 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:10:58.983096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.983096Z digest=sha256:aa52f210ecb017d93951e9eb4ecb16332b8713a71387f5ddd5df7278b90005e6

Observation 04817de4-def4-4631-b150-23ba79f96e27 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Strategies for Pre-training Graph Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:58.988522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.988522Z digest=sha256:1d09d9cec49408a054b4fee14016419945b01dafea252362520bfeba11ff5b0c

Observation afeebe5d-5522-43b2-9900-f70a20edfd32 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.507867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.993783Z digest=sha256:a31fdae22f1e796e4774ba710be09653fa9df8656c29041eadb0ff4e37c0fda4

Observation c60308d6-b6af-4803-9360-22e645cbb20d · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.490112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:58.998656Z digest=sha256:a8ec26b03083d8f6c2abc4b23a27095851785e8aae9340b58a84cd19da2bcf7d

Observation be6dbfdc-ddd0-40ea-b3e0-5e5d7ad1643e · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.473359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.003803Z digest=sha256:dbf5bf48c998f7b87ddd2c37e82838c2acd693c032612bfa30c112a95e92b44a

Observation 7988b1a1-b0bb-4828-9d28-cad1c48a6fc2 · outbound

This paper cites Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.008579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.008579Z digest=sha256:38f23829c61ffe77686a07443d03cff2d578ab57c60080d0eabb5f02cc661da4

Observation 30b84df7-36ba-4d1b-ae87-d8d44c02451e · outbound

This paper cites Graph Diffusion Transformers for Multi-Conditional Molecular Generation.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Graph Diffusion Transformers for Multi-Conditional Molecular Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.014301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.014301Z digest=sha256:6b2bcf515fb57cb3ff0c5baa8a05962e6ad7a54053e623a3e7813280c406d4b8

Observation 85a45259-4d0c-4bec-a6b4-6e04242000a1 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.457327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.019743Z digest=sha256:00293e3850dc1786465c911a75021d0171e859c184f847497d3840d9f69ba8c3

Observation 463384c5-0294-41c5-9255-25205bea942c · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.438993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.025736Z digest=sha256:207eb7e3d4c27309c1a19469ac8b5997a2fc9802f4fbc146ed5b96d0c7065956

Observation 20ba6618-a25c-44a9-bef3-3075d4378ddc · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.419784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.031712Z digest=sha256:19a33267d1efd7c691051e3dc67b96c9ee007248212e45867d17808b42dbc05e

Observation 85524007-67a9-4ce3-9a3b-cbceaaa3cd6c · outbound

This paper cites Radford, J.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Radford, J

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.401997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.037214Z digest=sha256:d9fcbc9360c859437aef61507e0bda91727f8c67e29ab19d9bdbc206b520e9d8

Observation cba58db5-e90d-4b66-a9d4-5a1b6dc2142f · outbound

This paper cites Rdkit cookbook, 2024.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Rdkit cookbook, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.383220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.042700Z digest=sha256:e8f6a02a6ee2e1c7352da4e53b14ae64b3291aeb9249901ecd6f8aa7c917bf9b

Observation bacfb13b-c012-4383-998f-4220122a89c1 · outbound

This paper cites Schneuing, C.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Schneuing, C

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.364899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.048041Z digest=sha256:0dc1f9b5791b9497671d15d322da62e3e747e8286a6337fcb4ffb52d116f125e

Observation 25d37392-eb2e-402a-9a2c-ee9e8ca2d4a2 · outbound

This paper cites Taori, I.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Taori, I

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.346341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.053957Z digest=sha256:7240886aaa859a223806dd97cff4b346b46ea615583270cc2af8b2c199772062

Observation a01005e7-9b4c-4a2b-a95a-28a0f629cf15 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.059000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.059000Z digest=sha256:de8a234375e5005a770585c1514fd3f409ead6c5325eaf56c19afbe9670d7f54

Observation a75c17a5-a7ad-46e8-be9d-2ad2ebede8eb · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.065098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.065098Z digest=sha256:0f0ab6299fe03b615e9be884d762e6682219c40583e0a6495d089d29a1e0601f

Observation b8df7ff7-b642-4dcb-b02c-c6b54f3e0a40 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.070451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.070451Z digest=sha256:893d62ad984d591d170dee6fcf940022d7193c94c4dcc424e26d12c6388d0976

Observation 44b0baeb-f036-4804-b986-1c30a0c7367e · outbound

This paper cites How Powerful are Graph Neural Networks?.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning How Powerful are Graph Neural Networks?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.075864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.075864Z digest=sha256:831c0dd8607ec5521e27c33a3b78f71ad0ede40e402911fbfdf03ddca782951e

Observation a79e1ec9-1579-45bc-8916-17cdd8950df2 · outbound

This paper cites Zdrazil, E.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Zdrazil, E

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.318299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.081186Z digest=sha256:ddcc2ba8a7f00af0e547c683d5b33f34d84017319f2e59fd46557cc908318ee8

Observation c1bd639e-5322-4ed0-8ec1-07cfac85c5b7 · outbound

This paper cites not active.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning not active

Reference 27

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:10:59.086248Z digest=sha256:d6c5ae92992d52749a1bf28eb71847e04cee5ef4c6cb11c587633b016968de1d

Pith citing papers

Observation 60d4bec2-b146-4a2f-991a-1be987d2ae34 · inbound

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery cites this paper.

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:20:30.317080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T02:17:47.015442Z digest=sha256:e196609cff345b95292bb4da37c256f74c744e72a95954344a3e4d12698e30f4

Observation bfa7a461-eb07-4bfb-b7d8-cef97c0aef63 · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 138

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T04:30:10.018166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T08:50:05.980191Z digest=sha256:683a505d15f0bbc9927d22a622bb6cfa4e024df65101384b3f66946e152a82c4

Observation 542b494a-fd52-4c85-9cb4-5d121a0d0925 · inbound

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language cites this paper.

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 154

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:44.838517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T11:46:33.957076Z digest=sha256:ee122fdeb45e2a2abbdb51f92b8451f880cd4306fda24c2539906927987f2870