Paper Citation Record · LEDGER

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2501.13959.

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

pith.paper-citation-record.v1
2501.13959 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:48:52.403288Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T03:05:04.196270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T03:09:44.071462Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy12
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d0a9d0e-ce43-49c9-ad6d-65172c6a1f34 · outbound

This paper cites write newline.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.278121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5af39e2-6ddc-42b2-a8fc-0ac293817f6b · outbound

This paper cites The Coq proof assistant reference manual: Version 6.1.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization The Coq proof assistant reference manual: Version 6.1

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.787110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43bffa66-5150-4e75-a67b-531dc805e3cd · outbound

This paper cites M 3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization M 3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.288269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48db010-cd81-428f-9e32-e50e4c78d546 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization A simple framework for contrastive learning of visual representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.292293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e82938ec-4363-450d-bf44-b0c1d3d81c47 · outbound

This paper cites The lean theorem prover (system description).

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization The lean theorem prover (system description)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.765129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb0befa1-af86-4178-97ab-522f776403c2 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.300545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64225e05-a2cc-4769-9504-e94e50f621a1 · outbound

This paper cites A semantic search engine for mathlib4.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization A semantic search engine for mathlib4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.304822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5610de7-714d-4116-8e56-586513fc80c3 · outbound

This paper cites U ni X coder: Unified cross-modal pre-training for code representation.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization U ni X coder: Unified cross-modal pre-training for code representation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.309202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 308f714d-67a9-4ae7-95a9-657c343399f1 · outbound

This paper cites an unresolved cited work.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:48:52.751424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65156a79-f9cd-41f1-a48f-b925fc6e3d80 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Momentum contrast for unsupervised visual representation learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.316707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f672643-d358-4804-85f1-b7606c21366e · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Unsupervised dense information retrieval with contrastive learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.320466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d041f872-310a-46a3-91ac-99ef88c59da6 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Dense passage retrieval for open-domain question answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.324175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a719326f-60f7-45ab-89d8-5152facc6d1b · outbound

This paper cites Llama2vec: Unsupervised adaptation of large language models for dense retrieval.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Llama2vec: Unsupervised adaptation of large language models for dense retrieval

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.718723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6fd052c-8720-4f08-be4a-3b54617f1f79 · outbound

This paper cites Fine-tuning llama for multi-stage text retrieval.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Fine-tuning llama for multi-stage text retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.332180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9855b852-22e0-4fed-9718-15c3bcd5009d · outbound

This paper cites P., Szegedy, C., Kuci \'n ski, ., Mi o \'s , P., and Wu, Y.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization P., Szegedy, C., Kuci \'n ski, ., Mi o \'s , P., and Wu, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.695989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db9dcb6a-35e4-444e-9c4d-a78ab938c494 · outbound

This paper cites an unresolved cited work.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:48:52.681699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d9fb604-2beb-4576-aafe-e169ad204ee2 · outbound

This paper cites Passage Re-ranking with BERT.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Passage Re-ranking with BERT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.343374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf71c4c-a44c-4065-bbe1-6f2826cd11e7 · outbound

This paper cites Understanding the Behaviors of BERT in Ranking.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Understanding the Behaviors of BERT in Ranking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.348333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4946cd64-e507-40b7-873d-bbc495d70e9d · outbound

This paper cites X., Dong, D., Wu, H., and Wang, H.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization X., Dong, D., Wu, H., and Wang, H

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.353036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a58c64f4-89b5-43a0-9662-cb9aca006b2d · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.357337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9575f71f-8974-4dc8-bddf-80e444803586 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization The probabilistic relevance framework: Bm25 and beyond

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.362232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1bff264-42fc-485f-ae2f-34feda6ba232 · outbound

This paper cites and Buckley, C.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization and Buckley, C

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.650308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eea04ce8-b400-4bc6-a217-f71aebbacbc8 · outbound

This paper cites Towards large language models as copilots for theorem proving in lean.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Towards large language models as copilots for theorem proving in lean

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.636403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06e63f1a-2480-464b-81fb-d89f21e0dbaa · outbound

This paper cites Fast wordpiece tokenization.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Fast wordpiece tokenization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.620975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23c17ea7-7b3c-487e-8c08-d30122a0f10c · outbound

This paper cites cloze procedure.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization cloze procedure

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.605228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0492c8f-a551-4271-b7fd-59386ad5ece6 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.382324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a85873-a5fe-4ec7-a760-562481fc207b · outbound

This paper cites Improving text embeddings with large language models.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Improving text embeddings with large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T17:48:52.386582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114ee808-94e9-4966-926f-f7902dd196ce · outbound

This paper cites and Saha, R.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization and Saha, R

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.591734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dced5e3e-9e53-4f2c-9cff-a47342f69036 · outbound

This paper cites Byt5: Towards a token-free future with pre-trained byte-to-byte models.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization Byt5: Towards a token-free future with pre-trained byte-to-byte models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.577894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b11c937c-4d2c-49e4-bd9a-58d2eef3e9d1 · outbound

This paper cites J., and Anandkumar, A.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization J., and Anandkumar, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.564063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9132bc6-9fdf-4ec1-9d56-ad12d468f0e5 · outbound

This paper cites M., and Polu, S.

Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization M., and Polu, S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:48:52.550247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 21bbab78-48ea-4dd5-89dd-402d2e252c0f · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:32:34.207696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ae5b4f7-d02c-4e3d-bafd-99021e55c86d · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:09:44.077495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.