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Paper Citation Record · LEDGER

Small Encoders Can Rival Large Decoders in Detecting Groundedness

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.21288.

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

pith.paper-citation-record.v1
2506.21288 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:33:30.572266Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5c7be2f-efb8-438d-9a5b-3cb77939fa6a · outbound

This paper cites online" 'onlinestring :=.

Small Encoders Can Rival Large Decoders in Detecting Groundedness online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-06T22:33:27.283157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.283157Z digest=sha256:8a3a2ef32147c805249e596c92ddee69af21574b5f7cc40500381bedeb00afe8

Observation 87a3dad3-0ff4-427f-9782-eaa133453119 · outbound

This paper cites write newline.

Small Encoders Can Rival Large Decoders in Detecting Groundedness write newline

Reference 2

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no resolver link, observed 2026-08-06T22:33:27.346177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.346177Z digest=sha256:59e7827fb814a50035c638f9fcdf6e47076bf438ec8e76de22f1a4133ac38d14

Observation cdb1f272-90d0-43c9-97a9-a8fb5cf76a3a · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

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no resolver link, observed 2026-08-06T22:33:27.497728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.497728Z digest=sha256:a8fe6f5a411b26829c4db187b457ada2187aaf9144f0595b0aebc991296e8589

Observation 246064e6-cb3b-44ad-bb24-84cc72dd187b · outbound

This paper cites Reliable, Adaptable, and Attributable Language Models with Retrieval.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Reliable, Adaptable, and Attributable Language Models with Retrieval

Reference 4

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no resolver link, observed 2026-08-06T22:33:27.656125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.656125Z digest=sha256:26d3ced6b89531a752c7eaa7bb71c1bf75ed7d70a4db34e6a536957e9d510c20

Observation 9b629aab-608a-440a-b42c-b62875165403 · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-06T22:33:27.799673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.799673Z digest=sha256:4dde969df5ef32425289ad0740770988eebab53df339298e95e78a4e8d9b3427

Observation 25b53290-d097-42f9-805e-db71bfb1cba6 · outbound

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

Small Encoders Can Rival Large Decoders in Detecting Groundedness BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

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unresolved
no resolver link, observed 2026-08-06T22:33:27.965293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:27.965293Z digest=sha256:e2e95d10ef73e28e0bd134a0f64724d9f037e602d7bccbfc3c24e1d610c95300

Observation 3a2b5452-63e2-456c-a569-700f2fcfd83f · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-06T22:33:28.068197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.068197Z digest=sha256:3f8edd6165cf6edd4dca3da29db8856680c6d3a93cfb26699987dbaa960fbeb3

Observation 9ad5c4ee-c0c0-4af9-a099-3504c9e9c4eb · outbound

This paper cites Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Reference 8

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no resolver link, observed 2026-08-06T22:33:28.186857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.186857Z digest=sha256:97e25f6cc17ab478892cbaff428a28ed6a15c4222b42a59985e7b939bedce9fe

Observation 51d1422d-9efc-478c-9114-ebbd38293c88 · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-06T22:33:28.285069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.285069Z digest=sha256:a48ad5a28249b554958ce4d1074150d0de66a409b259c7b16381178ba77f59f1

Observation ee1d3ed8-7396-4a70-a8b8-17c0146673a9 · outbound

This paper cites Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 10

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no resolver link, observed 2026-08-06T22:33:28.413602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.413602Z digest=sha256:fda1e079d63dd32ffbe2055ffa0c4ac42d0de6ab0857b5669a053d121ea0f525

Observation 207cb5ad-4d35-4a7e-8003-dd74f84f9668 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 11

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no resolver link, observed 2026-08-06T22:33:28.519315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.519315Z digest=sha256:1575afa16f88f855f51f8542b5325d0f7aeb9cf1189e1029c8f48c36efe78b5b

Observation 71401c89-6cd7-4f58-88e5-61fd9689244a · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Lost in the Middle: How Language Models Use Long Contexts

Reference 12

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unresolved
no resolver link, observed 2026-08-06T22:33:28.654800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.654800Z digest=sha256:da00c9ab72774714650e798c580e0d0d4314d533999b6698792073f600426929

Observation 4436ac81-09af-4442-bc32-7b7790959e63 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Small Encoders Can Rival Large Decoders in Detecting Groundedness RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

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no resolver link, observed 2026-08-06T22:33:28.765408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.765408Z digest=sha256:eb56e4cf3622f0c54403ed41f92514d81a4181c11bbcf7416952414c6ed4c473

Observation c60aa4ef-5507-4a7c-98ac-56b29b456de4 · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 14

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no resolver link, observed 2026-08-06T22:33:28.865781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.865781Z digest=sha256:7d26b862af109b3432f54d4d9c221866186d0be5dea996f34215df291ace365b

Observation 7322819c-46c3-4340-8311-d71af7066501 · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 15

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no resolver link, observed 2026-08-06T22:33:28.973063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:28.973063Z digest=sha256:1a33be223a047731c6860fe66dd0fedf519cece17a39144cfea9aca7ee5405c1

Observation 2b191e05-9cba-43eb-9018-2ac71dee3c3c · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-06T22:33:29.098045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.098045Z digest=sha256:87f08970ed62eb251b99b594f493fa983fa6a1463f22365bfc8c32d34d64e7c3

Observation 86199b95-5c59-432a-9f50-5a887662e900 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Small Encoders Can Rival Large Decoders in Detecting Groundedness BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 17

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no resolver link, observed 2026-08-06T22:33:29.219071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.219071Z digest=sha256:f9cc05db126d6c7d27a35bde3ed3a127bb99cbf7b206fefee87b3475cc062d2a

Observation 9336f85e-a672-419b-aabf-48d6d178ab3f · outbound

This paper cites NewsQA: A Machine Comprehension Dataset.

Small Encoders Can Rival Large Decoders in Detecting Groundedness NewsQA: A Machine Comprehension Dataset

Reference 18

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no resolver link, observed 2026-08-06T22:33:29.340918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.340918Z digest=sha256:d88f5aeb7c994cc0776b359f23da542d0551f2ba9b69583d28756755eef82dc0

Observation 7190cabe-8e7c-4962-beeb-caec5e659fb7 · outbound

This paper cites REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering.

Small Encoders Can Rival Large Decoders in Detecting Groundedness REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

Reference 19

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no resolver link, observed 2026-08-06T22:33:29.439082Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.439082Z digest=sha256:383f3ee399d117de3ed0fc7d5eafc8ba16d234ea93c70d8aec67bd5c59efc359

Observation ed85d6f6-a616-4bac-b5ba-884512fbe06c · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 20

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verified exact
doi, observed 2026-08-06T22:33:30.843390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T22:33:29.540599Z digest=sha256:6aeeb6643937fe7df6b61cde99bf4c5e3504c90c62aecdfb9a0d3549d1e1e610

Observation c44f67dc-a7c1-4049-8a5a-5c5e3b9f9fd5 · outbound

This paper cites Learning to Filter Context for Retrieval-Augmented Generation.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Learning to Filter Context for Retrieval-Augmented Generation

Reference 21

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no resolver link, observed 2026-08-06T22:33:29.656638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.656638Z digest=sha256:1da1173a7f6af9d354f2aadf0f665a1a19677866129c70418ea94fb16c9c3523

Observation 83fd632b-b446-4043-8171-84f3ad0f5460 · outbound

This paper cites How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?.

Small Encoders Can Rival Large Decoders in Detecting Groundedness How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

Reference 22

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unresolved
no resolver link, observed 2026-08-06T22:33:29.766657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.766657Z digest=sha256:1e2f54ab75f712547fe5ea6e79d8a997bce7f260caa21d0b6581691d3fdf2372

Observation 69621a71-adf1-4320-81ca-2950b137b34c · outbound

This paper cites Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

Reference 23

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no resolver link, observed 2026-08-06T22:33:29.853058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.853058Z digest=sha256:e2f04a0820c6d1affe725857aa0b336485f607a4cd2f263ffc09fc46012f5c09

Observation a154194e-1e0b-4b06-b8d7-5a3f71d8d53d · outbound

This paper cites Making Retrieval-Augmented Language Models Robust to Irrelevant Context.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Reference 24

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unresolved
no resolver link, observed 2026-08-06T22:33:29.999782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:29.999782Z digest=sha256:47f9496a084c3a98d2466b1f54bb20c890aa7fad58a19b5a8e15fa389e5caede

Observation 2d43a456-bfa3-49f3-92a6-c7a1053ddb08 · outbound

This paper cites End-to-End Beam Retrieval for Multi-Hop Question Answering.

Small Encoders Can Rival Large Decoders in Detecting Groundedness End-to-End Beam Retrieval for Multi-Hop Question Answering

Reference 25

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verified exact
local_arxiv, observed 2026-08-06T22:33:31.101683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T22:33:30.103508Z digest=sha256:e6bc71a151b13e9d5e0d22f2c5b1399c6b53acc579b85add43fbf5ad03991c6a

Observation e79aaf74-4d4a-488c-9a63-86230b60558b · outbound

This paper cites Sentiment Analysis in the Era of Large Language Models: A Reality Check.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 26

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no resolver link, observed 2026-08-06T22:33:30.213045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:30.213045Z digest=sha256:7b69250d73024bbdf4679c9eb26ae8ffdc2e6deb5ac43f9cbaf0370ec49f23b4

Observation 057c8bdf-929f-4b97-8879-413056e134ef · outbound

This paper cites A Survey of Large Language Models.

Small Encoders Can Rival Large Decoders in Detecting Groundedness A Survey of Large Language Models

Reference 27

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no resolver link, observed 2026-08-06T22:33:30.321985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:30.321985Z digest=sha256:bf81935f826fe1127eedccab432282dd50e4d1892a7d38369be3616f07c41e21

Observation 5466643d-2d39-41b3-bc38-4d70e843bce5 · outbound

This paper cites Metacognitive Retrieval-Augmented Large Language Models.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Metacognitive Retrieval-Augmented Large Language Models

Reference 28

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unresolved
no resolver link, observed 2026-08-06T22:33:30.439237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:30.439237Z digest=sha256:35701b226e0c53fdcbdf394fc9d9af109d23baf525fe39a7008971f18ec9b85c

Observation 4c2728d6-db12-43c8-b174-e2c18de39f84 · outbound

This paper cites an unresolved cited work.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-06T22:33:30.572266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:30.572266Z digest=sha256:19aecf7c52bdfe5d001320bc7f94e9cf32cb7bb0c68f8d1df93d3aec32cac69c

Pith citing papers

No inbound Pith citation observations are available.