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Paper Citation Record · LEDGER

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2312.15166.

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

pith.paper-citation-record.v1
2312.15166 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:36:46.453123Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:09.407610Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0eab44cc-62e6-49aa-903d-1710b18c0d08 · inbound

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

A Survey on Retrieval-Augmented Text Generation for Large Language Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 77

Resolution
malformed identifier
arxiv_id, observed 2026-05-24T02:15:55.447265Z

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=2026-05-24T02:15:05.379583Z digest=sha256:c783cb426a8897684e308c4accbfe9488bce2f3e6c859c72e92ab2eeb37505b6

Observation 59d9b44f-fe0b-4a66-b290-78c6dac7b04c · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 133

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malformed identifier
arxiv_id, observed 2026-05-13T20:18:06.706479Z

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=2026-05-13T20:18:06.304134Z digest=sha256:e2e0e968b7693f73d74a58ed284aac00a739262d5f6287edf2276547506658fd

Observation e359f20a-47c1-48ac-b6cd-0e585d3e4ec6 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 109

Resolution
malformed identifier
arxiv_id, observed 2026-05-17T22:16:04.819850Z

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=2026-05-17T22:16:04.386706Z digest=sha256:bb75817bf59917c929cc1fe009714e07f4bd8cf8f20d5b41d83134aafe8e6e11

Observation 13229869-7332-4292-b50c-16471c4779cf · inbound

Unraveling the Capabilities of Language Models in News Summarization cites this paper.

Unraveling the Capabilities of Language Models in News Summarization SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T00:36:46.453123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:36:46.453123Z digest=sha256:0d200557ca0b8ff66807793799e84ac6d2ebba44a7185de6299445161eba3ae8

Observation d6b26ee5-8b09-48b2-b473-878efa0036a0 · inbound

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging cites this paper.

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-08T23:51:29.380623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:51:29.380623Z digest=sha256:36eee14241201e3533d48cc61f15342464b52e4fa93b6edc2ad3cc8f9924d17d

Observation f5d946a5-ce6d-4e39-ad76-8bec83e82c11 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-08T11:11:44.600880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:44.600880Z digest=sha256:b14a789a4f5b2e42e1cfa40616f89284b7c3d107d9960f35632cc7166681c1b4

Observation db79b3e1-1de4-4d1b-8839-711344341c75 · inbound

Latent Flow Transformer cites this paper.

Latent Flow Transformer SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-07T15:42:05.936200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:05.936200Z digest=sha256:a1c8a48e680e2ee5684ddba5f2b52120187903817bf087eb74d22dedd2ea3c2d

Observation 00b386a9-338e-4bfc-85fc-c037922ab477 · inbound

Efficient Speech Translation through Model Compression and Knowledge Distillation cites this paper.

Efficient Speech Translation through Model Compression and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:04:48.602066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:04:48.602066Z digest=sha256:cd74fbd94b3175d38bb8de2f7732f992f68364b1b6858dc667aae371dc5330b2

Observation a3c1da30-bbfd-4f14-8662-a686fbc5facc · inbound

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation cites this paper.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-08-07T15:09:37.628409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:37.628409Z digest=sha256:126b15339118b7e5809419d75c7521c8e3748888a64ae2fab3c333a0137d4711

Observation 42830951-779f-4436-8dae-cfbc2b4694e2 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 25

Resolution
malformed identifier
no resolver link, observed 2026-08-07T12:39:00.710124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:00.710124Z digest=sha256:af08a2e8ee29825a6fdff26bcc4473ce88406e509694168fd026354a2aa0fd42

Observation 370e85a8-7d92-4788-91b8-a889fbe7214d · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 48

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:28:39.250664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:39.250664Z digest=sha256:f452346f7b2a5126fd43cf6fdbe03e24aec6848753dfee227f5ad8773ea25e70

Observation 8e1aac1d-3f89-4cc4-8b9f-a4ba61f04de2 · inbound

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study cites this paper.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 8

Resolution
malformed identifier
no resolver link, observed 2026-08-05T10:33:30.244944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:33:30.244944Z digest=sha256:073551bd5e8a31bd31983aed82ae8e11196abfcf1d8fadb68e7da2667c083d9c

Observation 424a487e-b4cb-4a64-ab4d-9eb99d4a7831 · inbound

MIDUS: Memory-Infused Depth Up-Scaling cites this paper.

MIDUS: Memory-Infused Depth Up-Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 14

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T22:03:36.128384Z

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=2026-05-16T22:02:42.297041Z digest=sha256:2e5e17e8ad67b730aac5f66b78e636cc0004f8d1accc8fc8f9242f6b77c47567

Observation a4c31e22-759a-45d1-9bcf-cc0262ee1fb6 · inbound

Visual-ERM: Reward Modeling for Visual Equivalence cites this paper.

Visual-ERM: Reward Modeling for Visual Equivalence SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 11

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T11:19:57.913023Z

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=2026-05-15T11:19:42.002790Z digest=sha256:55a00112bb1a2a053cbe96bfcb05ab149c7c8948400af625e10fe65db55f1d3e

Observation 8994c557-b41a-43e8-864d-602470089b39 · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 30

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T09:05:58.772360Z

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=2026-05-10T16:16:51.109113Z digest=sha256:1c724c4144609bbf32fc87f8d30617f56313dbf168088b65cf73a3c388685c90

Observation 6ae07fc5-2413-441b-ac0c-e5e6ee13d588 · inbound

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity cites this paper.

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 23

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T19:41:11.046774Z

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=2026-05-08T11:08:22.322879Z digest=sha256:9e6ddf080b9b4b2c8ad04a590bb17909c166375a84579621103d3818b344a291

Observation d40349d5-5a06-4aaf-ac78-ed3e33a2493b · inbound

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration cites this paper.

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 6

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T11:26:54.195736Z

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=2026-06-28T04:02:38.834181Z digest=sha256:40d89edcd0cff0e3e01c950a3e16b649de1729c18b23bb74c96fc6c68170e7f6

Observation a529809d-f6b0-4389-a74c-2ab7c4d9a8f0 · inbound

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling cites this paper.

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 47

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T16:07:09.409007Z

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=2026-06-27T22:55:09.477413Z digest=sha256:c9a0059295a69fb9855bca3756806db4ee19f5fa564fd0d7d0f2abf9dede5f5a

Observation b5a252e4-1286-4eb0-99f9-bf436fd4440e · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

Resolution
malformed identifier
arxiv_id, observed 2026-07-01T10:15:44.059441Z

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=2026-07-01T05:46:40.510955Z digest=sha256:5121355dc781ea91c66516f1cfa8e1e7f1009e40a861e8e3806b64625e672943

Observation e2795c3d-b840-4ccc-a228-dfc81ce0b248 · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-02T09:24:13.924447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:24:13.924447Z digest=sha256:b34a2c15b698622676234ed9490205656b609821186028b109b420176d2223fc