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Paper Citation Record · LEDGER

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.18152.

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

pith.paper-citation-record.v1
2607.18152 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:54:48.170830Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c20ac4f0-311d-45a0-aa14-01a068ca2bc2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Distilling the Knowledge in a Neural Network

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:47.762021Z digest=sha256:b497ee3b7e214b2a9d7bb0c2ea1608ade3d61724eaf83d7b0f890d222e6bf0a2

Observation 38f0d7cc-403f-4570-a717-e799c085f18a · outbound

This paper cites Mistral 7B.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Mistral 7B

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:54:47.807622Z digest=sha256:14afec5cdf24b8bec76aeb7a6a9b285d9abf7c95260173b77ec0a0f97ff77441

Observation 9601bd35-26af-4e59-acd1-54d8a8bb4af0 · outbound

This paper cites Distributed Control Enforcing Group Sparsity in Smart Grids.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Distributed Control Enforcing Group Sparsity in Smart Grids

Reference 7

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source=pdf_text observed=2026-08-01T15:54:47.821867Z digest=sha256:f22ca7c02a950c1835c01df971f6aef8933ba48de06f625d8b62a2a549cede4b

Observation cbe7b3c2-55a3-454b-a130-a09743239235 · outbound

This paper cites Passage Re-ranking with BERT.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Passage Re-ranking with BERT

Reference 8

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source=pdf_text observed=2026-08-01T15:54:47.871000Z digest=sha256:8c9e3a8bee9fc21d62c986d0e41884f4a1fa77a63651b6263b585534e77ff6da

Observation ac1a475d-44bd-44c9-928e-9c2e52a6c650 · outbound

This paper cites Columns are models; rows are datasets.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Columns are models; rows are datasets

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:54:47.944359Z digest=sha256:8e63f49a06efc3a36f8685bc35d4f8a13f9de6f473664d3de2cee4cca3effa5f

Observation c516e4d0-0bdf-4f27-b704-5141b5b50b82 · outbound

This paper cites Contrastive Learning with Negative Sampling Correction.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Contrastive Learning with Negative Sampling Correction

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:48.053138Z digest=sha256:d0bfa7a7be4233ef25a975729252d6db74a78d7ca544b2a03cae461f605046cc

Observation a17edf8e-f4d8-4d96-91c8-0db1f112a494 · outbound

This paper cites Columns are models; rows are languages.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Columns are models; rows are languages

Reference 14

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T15:54:48.170830Z digest=sha256:eb5dc0cbee2852bc54ee48baa751f92d534a43395cf5601a8f298548cc9fc981

Observation 23b32d69-3c8e-4de9-b7b6-df8955116824 · outbound

This paper cites Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 2015

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source=pdf_text observed=2026-08-01T15:54:47.908104Z digest=sha256:2f9283c712f5c05e41c04abed4a3d50d39d1d0a5f9cd4228458e31ff9c1612a1

Observation 25b408b3-fd12-4b57-8481-11fc4a9f1918 · outbound

This paper cites jina-reranker-v3: Last but not late interaction for listwise docu- ment reranking.arXiv preprint arXiv:2509.25085,.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation jina-reranker-v3: Last but not late interaction for listwise docu- ment reranking.arXiv preprint arXiv:2509.25085,

Reference 2019

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source=pdf_text observed=2026-08-01T15:54:47.996294Z digest=sha256:d59b44467e2ebf7ce9b788d0833255612e605aaec2729127d912cbcfda196ccf

Observation 918ac39c-c89a-4220-9fc0-52a7a53ab3d5 · outbound

This paper cites A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE

Reference 2021

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source=pdf_text observed=2026-08-01T15:54:47.473141Z digest=sha256:fe93b2815aab530bb8ab0da7ae4dc004b21d3d449a6d3c5102649d9f75f926d3

Observation 5f18265c-cdc9-4be0-9d31-0dcf7e386316 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2023

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source=pdf_text observed=2026-08-01T15:54:48.118248Z digest=sha256:4e5fa7a0427c137dcfbdf41e8fcf0065855cf734978b4ecf57e6fb4dedda1b1a

Observation 9a3b28a1-370b-43e8-9b42-83b2f284ce19 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 2024

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source=pdf_text observed=2026-08-01T15:54:47.210306Z digest=sha256:d7688a5890bf5c1c1625dddc6c2aa03cd656436426f581ea03b22336c86feb11

Observation e27909f8-14be-43de-b957-1fbd0988792c · outbound

This paper cites Gemma 3 Technical Report.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Gemma 3 Technical Report

Reference 2025

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:47.620899Z digest=sha256:41fa835f2af26481bc405b740496d8e43bd6ed5695234006247dc9e0ee16c101

Observation 385928a3-fff9-46b6-af80-2e9f716eb51e · outbound

This paper cites Longformer: The Long-Document Transformer.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Longformer: The Long-Document Transformer

Reference 2026

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source=pdf_text observed=2026-08-01T15:54:47.349202Z digest=sha256:70a0958b7bd1462d578a031b327881855be608e774e4a1389668ae428b465694

Pith citing papers

No inbound Pith citation observations are available.