Paper Citation Record · LEDGER

Align then Train: Efficient Retrieval Adapter Learning

As of 4 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2604.03403.

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

pith.paper-citation-record.v1
2604.03403 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T18:15:32.802259Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

30 of 30 outbound references displayed

verified exact16
verified fuzzy11
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06027926-8f96-4303-8b6c-b8e446244081 · outbound

This paper cites write newline.

Align then Train: Efficient Retrieval Adapter Learning write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.631715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77318479-e2c8-41a0-9cbc-60cbe65e0755 · outbound

This paper cites Transferring linear features across language models with model stitching.

Align then Train: Efficient Retrieval Adapter Learning Transferring linear features across language models with model stitching

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.607472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 669a7c0f-9899-43b9-a55f-1a73afbd624b · outbound

This paper cites M 3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Align then Train: Efficient Retrieval Adapter Learning M 3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 3

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.723755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 545e8aba-1c34-42c0-8e98-da8b17738d6b · outbound

This paper cites Promptagator: Few-shot dense retrieval from 8 examples.

Align then Train: Efficient Retrieval Adapter Learning Promptagator: Few-shot dense retrieval from 8 examples

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.614517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7c7940f-7edd-4874-95df-8354accec8ad · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

Align then Train: Efficient Retrieval Adapter Learning BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.707502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d819efc7-e50f-4899-adc6-48f406f7aed8 · outbound

This paper cites Position: The platonic representation hypothesis.

Align then Train: Efficient Retrieval Adapter Learning Position: The platonic representation hypothesis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.625261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8973916c-bd2c-400a-9b02-10dd5972564e · outbound

This paper cites Harnessing the universal geometry of embeddings.

Align then Train: Efficient Retrieval Adapter Learning Harnessing the universal geometry of embeddings

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.619497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c67dcf3-3291-4232-9d9c-3f19f706d349 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Align then Train: Efficient Retrieval Adapter Learning Dense Passage Retrieval for Open-Domain Question Answering

Reference 8

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.718225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f3269f0c-492d-4bdc-a1a1-0c88d920b2f2 · outbound

This paper cites Syntriever: How to train your retriever with synthetic data from LLM s.

Align then Train: Efficient Retrieval Adapter Learning Syntriever: How to train your retriever with synthetic data from LLM s

Reference 9

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.704654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9098ea04-9649-4527-bf11-9ceacbe7080f · outbound

This paper cites NV -embed: Improved techniques for training LLM s as generalist embedding models.

Align then Train: Efficient Retrieval Adapter Learning NV -embed: Improved techniques for training LLM s as generalist embedding models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.601719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62375b0a-91dd-4288-bce6-1fd0fafd5095 · outbound

This paper cites Decoupled weight decay regularization.

Align then Train: Efficient Retrieval Adapter Learning Decoupled weight decay regularization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.570495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c08cbe6b-9e49-4169-ab2a-e9a9d89bf870 · outbound

This paper cites Retrieval helps or hurts? a deeper dive into the efficacy of retrieval augmentation to language models.

Align then Train: Efficient Retrieval Adapter Learning Retrieval helps or hurts? a deeper dive into the efficacy of retrieval augmentation to language models

Reference 12

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.721129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ed03d38-0cc9-4917-a3f4-adc9d7af0275 · outbound

This paper cites Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, and Even Oldridge.

Align then Train: Efficient Retrieval Adapter Learning Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, and Even Oldridge

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:18:05.702225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d732a05b-0b74-4435-b016-bf7d04c4c8b5 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Align then Train: Efficient Retrieval Adapter Learning Representation Learning with Contrastive Predictive Coding

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:18:06.299572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a799ce19-5fe2-4f3a-8ee6-4e0c485df257 · outbound

This paper cites New embedding models and api updates.

Align then Train: Efficient Retrieval Adapter Learning New embedding models and api updates

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.588610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d188c62-cf91-4b55-9b90-5173a4a47e0e · outbound

This paper cites KILT: a benchmark for knowledge intensive language tasks.

Align then Train: Efficient Retrieval Adapter Learning KILT: a benchmark for knowledge intensive language tasks

Reference 16

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.709947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80282892-7c3f-4d6f-b0ed-37d618d0a7d5 · outbound

This paper cites Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks.

Align then Train: Efficient Retrieval Adapter Learning Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks

Reference 17

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.715432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88c4981c-4a80-46a6-8fee-f34d8e70453b · outbound

This paper cites Embedding adapters.

Align then Train: Efficient Retrieval Adapter Learning Embedding adapters

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.582448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4b1cb5c-f276-477b-ab41-8a5a45967f98 · outbound

This paper cites Rank-distillm: Closing the effectiveness gap between cross-encoders and llms for passage re-ranking.

Align then Train: Efficient Retrieval Adapter Learning Rank-distillm: Closing the effectiveness gap between cross-encoders and llms for passage re-ranking

Reference 19

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.698686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6e2cdec-66b0-4bf1-868d-e5ff37275775 · outbound

This paper cites MAIR: A massive benchmark for evaluating instructed retrieval.

Align then Train: Efficient Retrieval Adapter Learning MAIR: A massive benchmark for evaluating instructed retrieval

Reference 20

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.712477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1eb1dc5c-748b-4e9b-b15d-7d703e85f2dc · outbound

This paper cites Efficient context selection for long-context QA : No tuning, no iteration, just adaptive - k.

Align then Train: Efficient Retrieval Adapter Learning Efficient context selection for long-context QA : No tuning, no iteration, just adaptive - k

Reference 21

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.737534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f3d8e40-7ebc-41fc-985d-48493b2b75ab · outbound

This paper cites BEIR : A heterogeneous benchmark for zero-shot evaluation of information retrieval models.

Align then Train: Efficient Retrieval Adapter Learning BEIR : A heterogeneous benchmark for zero-shot evaluation of information retrieval models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.576980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35f4da8f-cbf4-48cd-a83a-47abe53a2cf8 · outbound

This paper cites Reproducing nevir: Negation in neural information retrieval.

Align then Train: Efficient Retrieval Adapter Learning Reproducing nevir: Negation in neural information retrieval

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:18:05.727437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 744bcc5f-9403-4fbb-83ae-452af868cc63 · outbound

This paper cites Drift-adapter: A practical approach to near zero-downtime embedding model upgrades in vector databases.

Align then Train: Efficient Retrieval Adapter Learning Drift-adapter: A practical approach to near zero-downtime embedding model upgrades in vector databases

Reference 24

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.729947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87960508-e9a0-43dc-beb6-b65e09199bb8 · outbound

This paper cites F ollow IR : Evaluating and teaching information retrieval models to follow instructions.

Align then Train: Efficient Retrieval Adapter Learning F ollow IR : Evaluating and teaching information retrieval models to follow instructions

Reference 25

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.733085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbed797f-7d1e-4623-83b3-da7edc5a842c · outbound

This paper cites Search-Adaptor: Embedding Customization for Information Retrieval.

Align then Train: Efficient Retrieval Adapter Learning Search-Adaptor: Embedding Customization for Information Retrieval

Reference 26

Resolution: verified exact; doi, observed 2026-05-13T18:18:05.735313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 868d8a9c-197b-4108-b6c5-d8e90f767b46 · outbound

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

Align then Train: Efficient Retrieval Adapter Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:18:06.302322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2fe0114c-1623-4083-a721-4fe1ae23801f · outbound

This paper cites @esa (Ref.

Align then Train: Efficient Retrieval Adapter Learning @esa (Ref

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T04:26:38.594590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33422211-cc3c-4f14-8c5c-345c43ad6146 · outbound

This paper cites an unresolved cited work.

Align then Train: Efficient Retrieval Adapter Learning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-14T04:26:38.561140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cabbd4bf-a07c-441a-9845-e0aeda021999 · outbound

This paper cites an unresolved cited work.

Align then Train: Efficient Retrieval Adapter Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-14T04:26:38.554033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.