Paper Citation Record · LEDGER

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2010.02666.

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

pith.paper-citation-record.v1
2010.02666 v2

Coverage vector

measured 0 of 0 reference resolution

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measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:41:36.221814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:50.070430Z

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Outbound references

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Pith citing papers

Observation df3b3d84-cfa3-4c76-a87c-9593284ebe66 · inbound

Hypencoder: Hypernetworks for Information Retrieval cites this paper.

Hypencoder: Hypernetworks for Information Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:41:36.221814Z

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Unavailable: canonical work link unavailable.

Observation c51e93a8-e930-462b-95c4-e808002dfb0e · inbound

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data cites this paper.

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:38.777255Z

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Observation 25ea03a8-0fce-41a8-af38-b6a7146c2086 · inbound

Disentangling Locality and Entropy in Ranking Distillation cites this paper.

Disentangling Locality and Entropy in Ranking Distillation Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:16.038526Z

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Observation 25c7284c-c4c5-4d6e-90d3-77ff75779c4a · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:17.656019Z

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Observation 695c01fd-6f05-4155-868b-99613c8ea533 · inbound

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT cites this paper.

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:10.122069Z

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Observation fd0bbfa2-fac9-4018-bb16-58abdad3abfd · inbound

Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation cites this paper.

Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.708712Z

Source-reported events for the cited work

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Observation 659c74b5-5f88-4bac-905f-7eae6c5601fd · inbound

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations cites this paper.

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:16:40.221449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 705c9149-ae70-4b73-b2af-ff43321fd735 · inbound

The Role of Vocabularies in Learning Sparse Representations for Ranking cites this paper.

The Role of Vocabularies in Learning Sparse Representations for Ranking Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:56:34.204425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e003fa9-df68-49ec-99f9-d5fa7a7cae28 · inbound

jina-embeddings-v5-text: Task-Targeted Embedding Distillation cites this paper.

jina-embeddings-v5-text: Task-Targeted Embedding Distillation Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:50:20.723670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8cdf63c-8069-4c65-a6d5-da0fba9961ae · inbound

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval cites this paper.

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:48.191341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0fb3997a-a641-46e2-806e-fc805186eb4e · inbound

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling cites this paper.

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:55.006283Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11ca9680-c881-4f25-acf0-eb7886ff6d60 · inbound

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation cites this paper.

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:55:20.509156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a319aac-6e72-4980-a625-73879be05934 · inbound

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval cites this paper.

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:15.583013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c607ed34-5ebb-4ff6-b0fa-1a02c8ddb5c2 · inbound

Understanding Wacky Weights: A Dissection of SPLADE's Learned Term Importance cites this paper.

Understanding Wacky Weights: A Dissection of SPLADE's Learned Term Importance Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T02:27:58.360083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c72601c5-e289-4160-be64-188a4ba055e9 · inbound

Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability cites this paper.

Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:53:17.492695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5052892-3730-4613-b08a-68a8ce02b42d · inbound

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages cites this paper.

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:14.010795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6692ef59-f7a9-42fd-aea5-c5b363f968ef · inbound

Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search cites this paper.

Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:50.071956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17252891-d6f1-48ec-af90-a561d9c356bf · inbound

Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls cites this paper.

Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 11

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Observation bab997a1-7b1b-406c-9808-aeb0559cb726 · inbound

Score-Only Distillation for Compact Dense Retrieval cites this paper.

Score-Only Distillation for Compact Dense Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T05:25:43.593958Z

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Unavailable: canonical work link unavailable.

Observation 0f77c06d-fb47-4b92-acde-3003babb3973 · inbound

RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways cites this paper.

RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T17:56:08.895732Z

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Unavailable: canonical work link unavailable.

Observation 2fc69675-9272-41c4-a06e-d1c00ef5c400 · inbound

Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection cites this paper.

Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T14:42:37.020256Z

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Observation 223813c1-9267-4e73-96f9-8862b5be826b · inbound

Towards a Relevance Posterior in Neural Information Access cites this paper.

Towards a Relevance Posterior in Neural Information Access Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T19:03:04.146023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 144e70c6-8071-4ee2-9b61-622586ba88ec · inbound

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval cites this paper.

KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:06.471731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.