Paper Citation Record · LEDGER

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1905.01969.

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

pith.paper-citation-record.v1
1905.01969 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:14:22.114756Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T19:25:32.393718Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fb4c6a9-529e-468d-8e15-d92e5ec4b1dc · inbound

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks cites this paper.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:54:08.928337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ab6fc714-84d2-42f3-9804-b3d159c5d93c · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:21:17.154994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 69e170c4-3066-4c70-914e-b651fc880f2e · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:48:43.308007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 30af4ca4-104f-4cc5-aec3-b623ce091b6e · inbound

HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders cites this paper.

HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:14:22.114756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f397f3b-4c94-4af7-8192-795860f430f8 · inbound

Learning to Unscramble Feynman Loop Integrals with SAILIR cites this paper.

Learning to Unscramble Feynman Loop Integrals with SAILIR Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:50:51.088722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b2d8a221-8ab1-46dc-9fc3-3e6c5ccc5140 · inbound

Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning cites this paper.

Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:16:02.691240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b47a68ad-6b8f-4f40-a601-293ccbdda70d · inbound

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI cites this paper.

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T23:17:23.141427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d8c160-3af7-4b67-911a-0382a29a9226 · inbound

Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking cites this paper.

Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-08T19:25:32.394949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7c457025-d1a1-4f99-bbd4-88d71a0be735 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:44.940693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.