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Paper Citation Record · LEDGER

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.07713.

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

pith.paper-citation-record.v1
2310.07713 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:52.540163Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0bea5878-5d76-4607-9d25-b86b4f17fdbf · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:57.052553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:1a8924e13603fd470452db925b9c1b99df365fe275e8f7c9cfe82843db597b53

Observation c5a9a8c6-2e05-4f3d-afa9-18932e43301c · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 123

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:15:16.200776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T21:15:16.112918Z digest=sha256:f0c8517b3f8d254082c83fbf23e2a3f6a6d6308c7c9f1e3a220aab906f953075

Observation 902cc746-38f8-4a09-ac68-a40e3a4d6533 · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:08:35.522069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:6637e13ac783ca6bf371dba03c280b6e541728614e9095a2a3e86026635d9fd4

Observation 6f006898-0642-44de-ac32-d48b7cb8d6c9 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:27:04.315830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T15:27:04.228144Z digest=sha256:90b418ce921161d41da8bb93a07db44b8f8936543ebeaad50af0c0677f0f2a46

Observation 4a63383f-ac01-4249-9d2f-f90711f38d47 · inbound

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:24:52.540163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.540163Z digest=sha256:dfaba93825b2fb0bf29c21ad84a2e5ec3a111be93c84c5510eeb449587ce82e8

Observation 473a6bf5-cb7a-4d9a-abc5-5d743f5f3861 · inbound

SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation cites this paper.

SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T17:41:14.977880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:41:14.977880Z digest=sha256:a64fb9f0e9fc2505912726bd5758ac4b2d8edde4d1baed60454f5f565574f4d9

Observation 2bbf90c6-b18b-4b03-8209-dc82f5040aab · inbound

Retrieval from Within: An Intrinsic Capability of Attention-Based Models cites this paper.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:10.582851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T14:44:21.325977Z digest=sha256:1a150a1b1f5c6c6c014427375513d1637c20d91287cd46777d26ffaf56930c18

Observation a5d1b268-3038-4f39-991c-4112ac55ee2f · inbound

Retrieval from Within: An Intrinsic Capability of Attention-Based Models cites this paper.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.333416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:81a0311d63ee307c1392d0785d0a52c5592454538cf9945c08ee4d21b768423f

Observation 543167c8-b03a-4f97-ae54-85bd3c3ba11e · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:17:56.973343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:6cc7062c144dfabcfb9512ab0de11da8f2ce7d351f87382b32009d688f0b474e