Paper Citation Record · LEDGER

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2504.13835.

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

pith.paper-citation-record.v1
2504.13835 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:23.550126Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:29.669246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:42:33.153457Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy3
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1920f43a-0065-431c-8d44-73d2e799cac3 · outbound

This paper cites online" 'onlinestring :=.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.400683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e074a3b-5062-4ad1-ac47-a3dfab47bc33 · outbound

This paper cites write newline.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.404664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4f79338-c2b6-4a01-b148-f671a4e60db2 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.949553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dffe31b0-1ce4-470b-8d9d-981521c85536 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.940857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cceb2006-6b67-4a31-9252-7381c1a11631 · outbound

This paper cites CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.415897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a28bac-6aa0-437f-922d-69c0c54972a3 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.934029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ded190e3-37cc-4de9-b9c0-23b4db27ec0f · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.421956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb130afd-af98-4d13-9a31-1bede424197c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.424358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88a9f00-6994-49ef-a73c-1d67ba4866a5 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Gonzalez, Ion Stoica, and Eric P

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.427460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5811c5-29a5-4135-a547-c606211b9350 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.429829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf6c7e0-f3f8-4452-9e2f-ceee2b58b272 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.432490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05de1ef2-7829-46c1-91c7-02c5f74452df · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.435273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad436ba4-d3f8-4323-802e-12a5d06bdc58 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.916415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85e0c9b7-189e-44d4-95e9-5298f05a6ad0 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.440346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3704d15d-60d8-4262-b793-a8557d0bf8e5 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.904647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5cdf4f3b-4059-4f36-ac3b-b9d28e28dad4 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.445282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dbf196d-3050-4ca1-bb98-56378ad5ee1f · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.897715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ffdb354-21f8-4cd1-9c7f-d0139abd29c9 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.889311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26159002-dfa7-4c3d-9196-6d22221fd03a · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.455296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bfe70ce-b7ca-4f21-aeac-b9acc759079d · outbound

This paper cites Mistral 7B.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Mistral 7B

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.457785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcd278f-9962-4437-b283-ac4a9f99aa85 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.460550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85443816-f651-4609-bc9c-15a2bd83efa4 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.877208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5d2904d-eaa6-4177-a46e-315b31717a31 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.869925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e6ed22b-376d-470d-9a6f-173740942b77 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.861294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eab152b1-ce95-484b-b482-9a1662880681 · outbound

This paper cites One-Shot Learning as Instruction Data Prospector for Large Language Models.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.472225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fd77cb-bc41-4ff4-9caf-d3509714cc19 · outbound

This paper cites WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.475870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc2a3b4-8dc7-44da-b8bb-21dc14f3365c · outbound

This paper cites Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:06:23.853018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d70e279e-4c71-45f7-a0e0-adfdf054c941 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.843484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75b45b42-0864-4a5d-9e01-624f5c0267a0 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.834145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f06a365-ca02-4875-b71e-b16595ccb977 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.824901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e21b2538-e695-411b-b612-7499f50027fc · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.816171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc86a4fc-915b-488f-b266-b6589a0cc899 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.494042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7867c7a8-2bc5-40d9-92e9-293fb68fe583 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.497019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 316a07e7-e405-410e-bbb3-7dc3d42838ec · outbound

This paper cites Hashimoto.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Hashimoto

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.500675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc37dc7-5c0a-46c2-9eb4-a69ebb712e8d · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.503611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c187cf9-ed5a-476c-a1e8-b071ddf93214 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space LLaMA: Open and Efficient Foundation Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.506240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44042f47-c56a-4a6c-860f-907d789aaebe · outbound

This paper cites OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.509174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee0d688-d9b8-460e-8079-6e83d9f2c8b1 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Improving Text Embeddings with Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.512268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 947900c1-ab11-43c5-a3c5-42e006ef94d6 · outbound

This paper cites Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.515888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbeaefb3-8554-4e02-af17-101f03abebdd · outbound

This paper cites Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.518985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71942dfb-a88f-42a6-b997-acabaafedf3e · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.791147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d288b5a2-d972-4b20-9360-0bbb23961bca · outbound

This paper cites Rethinking Data Selection at Scale: Random Selection is Almost All You Need.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.524506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efced55-d50f-400e-a205-d2899bac41d2 · outbound

This paper cites Qwen2.5 Technical Report.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Qwen2.5 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.527276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af33c2c4-9b9f-4699-8789-205c87ece905 · outbound

This paper cites Entropy Law: The Story Behind Data Compression and LLM Performance.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.529686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d52e863-2b68-4c15-8c4a-1f30823a7812 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.780432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0cb175b2-97b8-40b7-b202-5987a529a53a · outbound

This paper cites Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.535762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fbecb1-f800-49ed-a143-3f9983774dbb · outbound

This paper cites Zhang, and Yongbin Li.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Zhang, and Yongbin Li

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:06:23.771060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae3618c5-9b9f-4340-a254-363c3b1bb39f · outbound

This paper cites Gonzalez, and Ion Stoica.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Gonzalez, and Ion Stoica

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:06:23.759713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4e25908-a7b2-4fa2-9b90-3b94805d16d9 · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.749695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6225b090-ce0b-4fec-b779-003fb40f1c7d · outbound

This paper cites an unresolved cited work.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:06:23.740513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66ecf3c9-272a-486f-97b3-e97d552aa0cd · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Instruction-Following Evaluation for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:06:23.550126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dd426b84-2477-4009-bb0e-4e68d41d8de4 · inbound

GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data cites this paper.

GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:42:33.224540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.