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Paper Citation Record · LEDGER

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization

As of 3 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2605.29295.

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

pith.paper-citation-record.v1
2605.29295 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

13 of 13 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f29dc2b5-feb3-4267-9aac-5b7c907b6fa2 · outbound

This paper cites Qwen Technical Report.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Qwen Technical Report

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T00:22:50.716973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:4c5c6d7c0b27796091289b0be587c217fe0c0773a6d32c13435eec59470e6366

Observation e45be75f-f3d0-450c-b21c-effc991ec6a6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Training Verifiers to Solve Math Word Problems

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T00:22:50.707644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:e5d7980d82f03f480bbbe75df9c4f564e331e24fb48f83539b2be55dbd8f145f

Observation 0217a39f-71f6-48e5-bcf4-349bae1f8355 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 3

Resolution
malformed identifier
doi_truncated, observed 2026-06-29T00:22:50.720975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:1180470bf9790d61f21333cd22eba81c86c4526bea7f87c33db94d0d2f76c6fd

Observation 2e9c1143-9e90-4732-a090-12e7e5ceaf71 · outbound

This paper cites Gehman, S., Gururangan, S., Sap, M., Choi, Y ., and Smith, N.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Gehman, S., Gururangan, S., Sap, M., Choi, Y ., and Smith, N

Reference 4

Resolution
verified exact
doi, observed 2026-06-29T00:22:50.712699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:a42a72a4a556bd3437402ee2a8047bdcf3f0c4975715cb40aa330a40c13f6076

Observation 336cce48-697c-4dcb-998b-0420dc5d5084 · outbound

This paper cites findings-emnlp.301/.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization findings-emnlp.301/

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T00:22:03.538062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:ea4363af7fa5c9a378aa7d70106ccde04da513098e704c9e500e18c944ab88d3

Observation 55d88e73-4809-4bb6-a78d-9094f5aea14b · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 6

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T00:22:51.437205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:f1dc4506b849c0e015c0eecdfd8c45176255702db307600c8070aaa276177ff2

Observation bdd2f816-b6e7-445c-9942-54279d997a78 · outbound

This paper cites Jin, X., Ren, X., Preotiuc-Pietro, D., and Cheng, P.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Jin, X., Ren, X., Preotiuc-Pietro, D., and Cheng, P

Reference 7

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T00:22:51.439801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:00ae5148252199a7b5649406f0f1a2d0584cdfeb52e631b0d511e4e88b1370ef

Observation c405f55e-2b4b-48d9-bb70-26ea6fe69a00 · outbound

This paper cites org/CorpusID:15710851.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization org/CorpusID:15710851

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:22:50.708680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:35c3c335bbc6fb79e15cef0fb5a3ace159162c436350352dfee7db8070322f6f

Observation f52ce07f-ccd2-4c9e-9c22-fa3044a37b5b · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T00:22:50.718870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:5bdd491ae692c369e2616d16e64343f7fe83bd4931c0f19df7252228578c612a

Observation 16eea924-674c-4e63-945e-8710ea9910ae · outbound

This paper cites PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T00:22:50.692442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:85ca1d6ac1b4fd8f17ebf795c255517e48994adda0dede3966d513ff98e0a53c

Observation 8aa2846f-570e-4e41-b904-fffb5db3f910 · outbound

This paper cites Xu, C., Sun, Q., Zheng, K., Geng, X., Zhao, P., Feng, J., Tao, C., Lin, Q., and Jiang, D.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Xu, C., Sun, Q., Zheng, K., Geng, X., Zhao, P., Feng, J., Tao, C., Lin, Q., and Jiang, D

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-29T00:22:03.538062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:675bbfb116c0978a4a544fab256e444c16eef1057ac359825b72608d356f87b0

Observation 7ad157b2-56f9-47b7-a011-81626515e741 · outbound

This paper cites Model merging in llms, mllms, and beyond: Methods, theories, applications, and opportunities.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization Model merging in llms, mllms, and beyond: Methods, theories, applications, and opportunities

Reference 12

Resolution
metadata mismatch
doi, observed 2026-06-29T00:22:50.710438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:e44bb218bee916e47d458a89b79ac155618148a2f33c7ff3b33ec028022a60f2

Observation 3f08870e-c8f5-4837-b064-57b7a898ec35 · outbound

This paper cites findings-emnlp.127.

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization findings-emnlp.127

Reference 13

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T00:22:51.442571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T00:22:03.538062Z digest=sha256:ef24f15cca8c0ea984443248835b3247b68ff2bdcfb771ef05e0b74a36dba309

Pith citing papers

No inbound Pith citation observations are available.