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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 24 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:34:47.369921Z

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

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b6e9b85c-f4d8-4bb9-851c-12bb5e1b9dbf · inbound

Can Cross Encoders Produce Useful Sentence Embeddings? cites this paper.

Can Cross Encoders Produce Useful Sentence Embeddings? Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

Reference 12

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no resolver link, observed 2026-08-09T04:34:47.369921Z

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source=arxiv_source observed=2026-08-09T04:34:47.369921Z digest=sha256:b31d5a3957a59fe1c59f68fb1f8a898035b15dee96279d7d2d839baa4ebe63f6

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

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source=pdf_text observed=2026-08-08T19:41:36.221814Z digest=sha256:9756fb3048eb8eeca2e3faaaf4a3ba8ff5fa934472544729b8f7d0f8f8521c13

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

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

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source=arxiv_source observed=2026-08-07T14:23:38.777255Z digest=sha256:d579a87bb473b10541f8a0abd3d81e6128f567879f5910bc6a3cfe0088bbdd7b

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

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

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source=arxiv_source observed=2026-08-07T13:47:16.038526Z digest=sha256:58303b3d130eb98c0a3a7f72102a847c7cdc11226cb91ce73c9fb92c608447fc

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:17.656019Z digest=sha256:cf8ee0bb2d77c644285f2a1fcb8bb6e38d869f4675d067bcefcb2d9222668d3f

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:10.122069Z digest=sha256:10fca29268a16972eb674f7e73e8a8d3f48a0ca3630c981032e47a1a6fb40d9c

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

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source=pdf_text observed=2026-08-06T19:19:40.708712Z digest=sha256:fa9e1e17ad0a03078e0aebfacbd985e73d333467b08c2c49a2cffe571bd9dce1

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

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arxiv_id, observed 2026-05-18T17:16:40.221449Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T17:13:10.779903Z digest=sha256:d25b94fc2accecf234a30e0782d2f447609eb9c1ecb5dc063b7ea1fd3d4f547a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T15:56:06.591463Z digest=sha256:a72172a1ed4680c72282d3ed6aca6bafbfe65a3bbd67326d7673bb352f6c6e64

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:48:01.320062Z digest=sha256:0f3ffba9460225cdde3736cd891a612388fed937bb091abb8d62f43fea454d8f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:07:39.225282Z digest=sha256:88d91ab66bc804f0b2574270dbce6a08eb54e552639da7c6b6a80655b5a3f8e2

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

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arxiv_id, observed 2026-05-11T05:10:55.006283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:16:32.064797Z digest=sha256:7249c6ee03fb0ff678a9462bdc1b27faf95360ef04d48f0b94e0b9958bb9a9e5

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

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arxiv_id, observed 2026-05-10T11:55:20.509156Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T11:54:09.047134Z digest=sha256:e0e99b0093e72c57953ab77db5bd74c407e2ba71ea932d09f94b4b48252ce619

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T05:16:19.037595Z digest=sha256:e676d2a5d6181dcc98c3cc4f4d4a53428146ca21048f53cd229d50f2c658f5ea

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

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arxiv_id, observed 2026-05-20T02:27:58.360083Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T02:27:35.037299Z digest=sha256:7e0e3320b5c2ed9244d821c41386bba6538df1d6779af241d498b1785ba6cfee

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

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arxiv_id, observed 2026-06-29T09:53:17.492695Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T09:47:15.978952Z digest=sha256:a0570268644289d46397e9bf07d4a786b9e4b57015d21aa2cd0f6c45f85531a5

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

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arxiv_id, observed 2026-06-29T07:33:14.010795Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:27:03.060416Z digest=sha256:8e9cc858e79464a1b7790167b48fe9befe685829d827d5bab378e62e2c477a69

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T06:11:04.116227Z digest=sha256:9c2289b32207faf0836c67cd1169b5d79036a0e9c6aa0de3dc9f15f2206654b5

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:57:08.818406Z digest=sha256:1b1a2a55e4eb3b6e41ac1b9ef6ea000af6cf268c3845ed63022c80b6fb568574

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

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

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source=pdf_text observed=2026-07-14T05:25:43.593958Z digest=sha256:95aba435433092935f67bbc372738568e2f3efb5dadcb67f9008fde1cc58ffca

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

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

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source=pdf_text observed=2026-08-01T17:56:08.895732Z digest=sha256:66070c6e947fc435922d09b517fe8dc53b8973671d217af3a9d6d9aacfc9cc28

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

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

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source=pdf_text observed=2026-08-01T14:42:37.020256Z digest=sha256:92078048e5816b8ac24debdb5a1a9b3544598fdc59852c51aacd2b53d280c2f3

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

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

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source=pdf_text observed=2026-07-30T19:03:04.146023Z digest=sha256:bb8155206f9882e61b4bf1069a18c87738b42215229eae28a69c3c2c1d583c77

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

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

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source=arxiv_source observed=2026-08-06T00:17:06.471731Z digest=sha256:b33ab55f8d9e6818e12b2abb35e6d5f8cd38604363b100edec93d6cf01fa26f0